Padhraic Smyth

Q: What Schools Are Affiliated With Padhraic Smyth

Padhraic Smyth is affiliated with the following schools: National University of Ireland, University of California, Irvine, California Institute of Technology

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Padhraic Smyth

Computer Science

#2882

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#3017

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Database

#794

World Rank

#834

Historical Rank

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Computer Science

Padhraic Smyth's Degrees

Bachelors Computer Science National University of Ireland

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According to Wikipedia, Padhraic Smyth is a Professor of Computer Science in UC Irvine's Donald Bren School of Information and Computer Sciences. He also serves as Director of UC Irvine's Data Science Initiative and Associate Director for UC Irvine's Center for Machine Learning and Intelligent Systems. He was elected a fellow of the Association for the Advancement of Artificial Intelligence in 2010 "for significant contributions to the theory and practice of statistical machine learning".

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Padhraic Smyth's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

From Data Mining to Knowledge Discovery in Databases (1996) (5338)
Principles of Data Mining (2007) (3932)
From Data Mining to Knowledge Discovery: An Overview (1996) (3111)
The KDD process for extracting useful knowledge from volumes of data (1996) (2076)
Advances in Knowledge Discovery and Data Mining (2004) (1958)
The Author-Topic Model for Authors and Documents (2004) (1660)
Knowledge Discovery and Data Mining: Towards a Unifying Framework (1996) (963)
Rule Discovery from Time Series (1998) (753)
Probabilistic author-topic models for information discovery (2004) (666)
A Spectral Clustering Approach To Finding Communities in Graph (2005) (665)
On Smoothing and Inference for Topic Models (2009) (605)
Fast collapsed gibbs sampling for latent dirichlet allocation (2008) (592)
Trajectory clustering with mixtures of regression models (1999) (524)
Clustering Sequences with Hidden Markov Models (1996) (485)
Algorithms for estimating relative importance in networks (2003) (475)
Distributed Algorithms for Topic Models (2009) (419)
An Information Theoretic Approach to Rule Induction from Databases (1992) (395)
Visualization of navigation patterns on a Web site using model-based clustering (2000) (373)
Inferring Ground Truth from Subjective Labelling of Venus Images (1994) (338)
Probabilistic Independence Networks for Hidden Markov Probability Models (1997) (332)
Learning author-topic models from text corpora (2010) (331)
Model selection for probabilistic clustering using cross-validated likelihood (2000) (329)
Statistical topic models for multi-label document classification (2011) (305)
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases (1997) (292)
Rule Induction Using Information Theory (1991) (287)
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site (2003) (284)
From Group to Individual Labels Using Deep Features (2015) (276)
Cluster Analysis of Typhoon Tracks. Part II: Large-Scale Circulation and ENSO (2007) (274)
Adaptive event detection with time-varying poisson processes (2006) (272)
Cluster Analysis of Typhoon Tracks. Part I: General Properties (2007) (267)
Distributed Inference for Latent Dirichlet Allocation (2007) (257)
Prediction and ranking algorithms for event-based network data (2005) (243)
Test–retest and between‐site reliability in a multicenter fMRI study (2008) (237)
Deformable Markov model templates for time-series pattern matching (2000) (215)
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model (2006) (215)
Clustering Using Monte Carlo Cross-Validation (1996) (210)
Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis (2012) (203)
Downscaling of Daily Rainfall Occurrence over Northeast Brazil Using a Hidden Markov Model (2004) (199)
Multiple Regimes in Northern Hemisphere Height Fields via MixtureModel Clustering* (1999) (195)
The UCI KDD archive of large data sets for data mining research and experimentation (2000) (191)
Business applications of data mining (2002) (190)
A general probabilistic framework for clustering individuals and objects (2000) (181)
Statistical entity-topic models (2006) (175)
TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling (2012) (174)
Asynchronous Distributed Learning of Topic Models (2008) (171)
Probabilistic clustering of extratropical cyclones using regression mixture models (2007) (171)
Modeling the Internet and the Web: Probabilistic Method and Algorithms (2003) (168)
Statistical inference and data mining (1996) (166)
Linearly Combining Density Estimators via Stacking (1999) (153)
Circadian Clock Genes Contribute to the Regulation of Hair Follicle Cycling (2009) (151)
KDD Cup and workshop 2007 (2007) (151)
Learning Finite State Machines With Self-Clustering Recurrent Networks (1993) (150)
Statistical Themes and Lessons for Data Mining (2004) (142)
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (2013) (140)
Analyzing Entities and Topics in News Articles Using Statistical Topic Models (2006) (139)
Belief networks, hidden Markov models, and Markov random fields: A unifying view (1997) (135)
Modeling human location data with mixtures of kernel densities (2014) (132)
Modeling The Internet And The Web (2003) (125)
Probabilistic curve-aligned clustering and prediction with regression mixture models (2004) (123)
Hidden Markov models for fault detection in dynamic systems (1993) (121)
Science and data science (2017) (118)
Markov monitoring with unknown states (1994) (108)
Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification (2014) (104)
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data (2003) (103)
Joint Probabilistic Curve Clustering and Alignment (2004) (99)
Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance (2004) (98)
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning (2008) (98)
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction (2001) (94)
Approximate Inference for Deep Latent Gaussian Mixtures (2016) (93)
Discrete recurrent neural networks for grammatical inference (1994) (92)
Learning to Recognize Volcanoes on Venus (1998) (91)
Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (1995) (90)
Rule-Based Neural Networks for Classification and Probability Estimation (1992) (90)
Continuous-Time Regression Models for Longitudinal Networks (2011) (88)
Decision tree design from a communication theory standpoint (1988) (88)
Automating the hunt for volcanoes on Venus (1994) (86)
Dynamic Egocentric Models for Citation Networks (2011) (76)
Probabilistic Model-Based Clustering of Multivariate and Sequential Data (1999) (76)
Applying classification algorithms in practice (1997) (73)
Stochastic blockmodeling of relational event dynamics (2013) (73)
Translation-invariant mixture models for curve clustering (2003) (73)
Subseasonal‐to‐interdecadal variability of the Australian monsoon over North Queensland (2006) (73)
Curve Clustering with Random Effects Regression Mixtures (2003) (69)
Modeling the Internet and the Web: Probabilistic Methods and Algorithms: Baldi/Probabilistic (2002) (68)
Using Social Media to Measure Temporal Ambient Population: Does it Help Explain Local Crime Rates? (2018) (63)
Data mining: data analysis on a grand scale? (2000) (63)
Modeling Count Data from Multiple Sensors: A Building Occupancy Model (2007) (63)
On loss functions which minimize to conditional expected values and posterior proba- bilities (1993) (61)
Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series (2004) (60)
Modeling of multivariate time series using hidden markov models (2005) (60)
Towards scalable support vector machines using squashing (2000) (59)
Stacked Density Estimation (1997) (58)
Hierarchical Models for Relational Event Sequences (2012) (56)
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks (2011) (56)
Zonally contrasting shifts of the tropical rainbelt in response to climate change (2020) (56)
Discovering Chinese Words from Unsegmented Text (1999) (55)
Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data (2002) (53)
Detecting changes in student behavior from clickstream data (2017) (53)
Learning to detect events with Markov-modulated poisson processes (2007) (53)
Subject metadata enrichment using statistical topic models (2007) (52)
Optimal use of land surface temperature data to detect changes in tropical forest cover (2011) (50)
Combining concept hierarchies and statistical topic models (2008) (49)
Bounds on the mean classification error rate of multiple experts (1996) (48)
Downscaling projections of Indian monsoon rainfall using a non‐homogeneous hidden Markov model (2011) (48)
Graphical models for statistical inference and data assimilation (2007) (47)
Pattern discovery in sequences under a Markov assumption (2002) (47)
Data-driven evolution of data mining algorithms (2002) (46)
Detecting the ITCZ in Instantaneous Satellite Data using Spatiotemporal Statistical Modeling: ITCZ Climatology in the East Pacific (2011) (45)
Text-based measures of document diversity (2013) (44)
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth (1994) (44)
A General Probabilistic Framework for Clustering Individuals (2000) (43)
A Hybrid Rule-Based/Bayesian Classifier (1990) (41)
Prediction with local patterns using cross-entropy (1999) (39)
The Induction of Probabilistic Rule Sets - The Itrule Algorithm (1989) (39)
Understanding Student Procrastination via Mixture Models (2018) (38)
KDD-93: Progress and Challenges in Knowledge Discovery in Databases (1994) (38)
Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets (2000) (38)
Segmental Hidden Markov Models with Random Effects for Waveform Modeling (2006) (38)
Learning with Blocks: Composite Likelihood and Contrastive Divergence (2010) (37)
Imaging phenotypes and genotypes in schizophrenia (2007) (37)
Bayesian nonhomogeneous Markov models via Pólya-Gamma data augmentation with applications to rainfall modeling (2017) (37)
Discovering Chinese words from unsegmented text (poster abstract) (1999) (36)
Image database exploration: progress and challenges (1993) (36)
KDD Cup and Workshop 2007 (2007) (35)
Segmental Semi-Markov Models for Endpoint Detection in Plasma Etching (2000) (35)
Dropout as a Structured Shrinkage Prior (2018) (35)
Information-Theoretic Rule Induction (1988) (34)
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods (1997) (34)
The Markov Modulated Poisson Process and Markov Poisson Cascade with Applications to Web Traffic Modeling (2003) (34)
Modeling relational events via latent classes (2010) (33)
EventRank: a framework for ranking time-varying networks (2005) (31)
Situational Awareness Technologies for Disaster Response (2008) (31)
Diurnal cycle of the Intertropical Convergence Zone in the east Pacific (2010) (31)
Combining Background Knowledge and Learned Topics (2011) (31)
Hidden Markov models for fault detection in dynamic system (1994) (30)
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation (2006) (28)
Segmental semi-markov models and applications to sequence analysis (2002) (28)
Hierarchical Dirichlet Processes with Random Effects (2006) (27)
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data (2010) (26)
Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models (2004) (25)
Detecting Novel Classes with Applications to Fault Diagnosis (1992) (25)
Content Coding of Psychotherapy Transcripts Using Labeled Topic Models (2017) (25)
A Bayesian Hidden Markov Model of Daily Precipitation over South and East Asia (2015) (25)
An Information Theoretic Approach to Rule-Based Connectionist Expert Systems (1988) (25)
Scalable Parallel Topic Models (2006) (25)
Anytime Exploratory Data Analysis for Massive Data Sets (1997) (24)
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 (2011) (24)
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing (2015) (24)
Predicting Consumption Patterns with Repeated and Novel Events (2019) (23)
Breaking out of the Black-Box: Research Challenges in Data Mining (2001) (23)
Probabilistic Clustering using Hierarchical Models (1999) (23)
Estimating replicate time shifts using Gaussian process regression (2010) (23)
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions (2019) (22)
Decision tree design using information theory (1990) (22)
Machine learning to predict final fire size at the time of ignition (2019) (22)
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data (2006) (21)
Self-clustering recurrent networks (1993) (21)
Model-based interpretation of complex and variable images. (1997) (21)
Deep Generative Models with Stick-Breaking Priors (2016) (21)
Objective functions for probability estimation (1991) (20)
Gene Expression Clustering with Functional Mixture Models (2003) (20)
Stick-Breaking Variational Autoencoders (2016) (20)
Asynchronous distributed estimation of topic models for document analysis (2011) (20)
Bayesian detection of non-sinusoidal periodic patterns in circadian expression data (2009) (19)
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves (2002) (19)
Text Modeling using Unsupervised Topic Models and Concept Hierarchies (2008) (19)
Daily States of the March–April East Pacific ITCZ in Three Decades of High-Resolution Satellite Data (2016) (19)
The Co-factor of LIM Domains (CLIM/LDB/NLI) Maintains Basal Mammary Epithelial Stem Cells and Promotes Breast Tumorigenesis (2014) (18)
CLUSTER ANALYSIS OF WESTERN NORTH PACIFIC TROPICAL CYCLONE TRACKS (2004) (18)
Hierarchical Models for Screening of Iron Deficiency Anemia (1999) (18)
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (2010) (18)
Probabilistic query models for transaction data (2001) (18)
Recommending patents based on latent topics (2013) (18)
Data Mining at the Interface of Computer Science and Statistics (2001) (18)
Automated analysis of the temporal behavior of the double Intertropical Convergence Zone over the east Pacific (2012) (17)
A High-Speed Distortionless Predictive Image-Compression Scheme (1990) (17)
Predictive Profiles for Transaction Data using Finite Mixture Models (2001) (17)
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks (2015) (17)
Learning Priors for Invariance (2018) (17)
Cataloging and Mining Massive Datasets for Science Data Analysis (1999) (17)
Modeling Subjective Uncertainty in Image Annotation (1996) (16)
An Evaluation of Linearly Combining Density Estimators via Stacking (1998) (16)
Hidden Markov models and neural networks for fault detection in dynamic systems (1993) (16)
Automated analysis and exploration of image databases: Results, progress, and challenges (2004) (16)
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models (2006) (15)
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration (2021) (15)
Probability density estimation and local basis function neural networks (1994) (15)
Bayesian modeling of human–AI complementarity (2022) (15)
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges (2012) (15)
Infinite mixtures of trees (2007) (14)
Detecting Atmospheric Regimes Using Cross-Validated Clustering (1997) (14)
Stability of Hořava–Witten spacetimes (2005) (14)
Measurement error and outcome distributions: Methodological issues in regression analyses of behavioral coding data. (2015) (14)
Forecasting Daily Wildfire Activity Using Poisson Regression (2020) (13)
A Bayesian Framework for Storm Tracking Using a Hidden-State Representation (2008) (13)
Modeling of Inhomogeneous Markov Random Fields with Applications to Cloud Screening (1998) (13)
Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set (2008) (13)
Automated analysis of radar imagery of Venus: handling lack of ground truth (1994) (13)
Modeling Scientific Impact with Topical Influence Regression (2013) (13)
Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach (1997) (12)
Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression (2018) (12)
The distribution of loop lengths in graphical models for turbo decoding (1999) (12)
From Massive Data Sets to Science Catalogs: Applications and Challenges (1995) (12)
Statistical inference and data mining : Data mining and knowledge discovery in databases (1996) (11)
Multi-Instance Mixture Models and Semi-Supervised Learning (2011) (11)
Modeling Response Time in Digital Human Communication (2015) (11)
A Rule-Based Approach to Neural Network Classifiers (1990) (10)
Revisiting MAP Estimation, Message Passing and Perfect Graphs (2011) (10)
Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker (2014) (10)
Real Time Autonomous Expert Systems in Network Management (1989) (10)
Particle-based Variational Inference for Continuous Systems (2009) (10)
Segmental Semi-Markov Models for Change-Point Detection with Applications to Semiconductor Manufactu (2000) (9)
Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales (2020) (9)
Approximate Query Answering with Frequent Sets and Maximum Entropy (2000) (9)
Automating data science (2021) (9)
Learning concept graphs from text with stick-breaking priors (2010) (9)
Annealing Paths for the Evaluation of Topic Models (2014) (9)
Active Bayesian Assessment for Black-Box Classifiers (2020) (8)
On Stochastic Complexity and Admissible Models for Neural Network Classifiers (1990) (8)
Analyzing user-event data using score-based likelihood ratios with marked point processes (2017) (8)
Measurement and Data (2019) (8)
OF DATA MINING (2002) (8)
Joint probabilistic clustering of multivariate and sequential data (1999) (8)
Parametric Response Surface Models for Analysis of Multi-site fMRI Data (2005) (7)
Quantifying the association between discrete event time series with applications to digital forensics (2020) (7)
Statistical topic models for multi-label document classification (2011) (7)
Hot Swapping for Online Adaptation of Optimization Hyperparameters (2014) (7)
A graphical model representation of the track-oriented multiple hypothesis tracker (2012) (7)
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning (2020) (7)
Automating Data Science: Prospects and Challenges (2021) (7)
Dementia Screening with Machine Learning Methods (1997) (7)
Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences (2015) (7)
Learning Approximately Objective Priors (2017) (7)
Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern U.S. Winter Precipitation. (2020) (7)
Learning to Classify Galaxy Shapes Using the EM Algorithm (2002) (6)
Bayesian Trees for Automated Cytometry Data Analysis (2018) (6)
Clustering and Mode Classiication of Engineering Time Series Data (6)
Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms (2003) (6)
UvA-DARE (Digital Academic Cyclic causal discovery from continuous equilibrium data (2013) (6)
Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models (1991) (6)
The Distribution of Cycle Lengths in Graphical Models for Iterative Decoding (1999) (6)
Models and Patterns (2001) (6)
Diffusion Generative Models in Infinite Dimensions (2022) (5)
Machine Learning of Discriminative Gate Locations for Clinical Diagnosis (2019) (5)
Statistical Models for Exploring Individual Email Communication Behavior (2012) (5)
Model Complexity, Goodness of Fit and Diminishing Returns (2000) (5)
On model selection and concavity for finite mixture models (2000) (5)
An exploratory study of interdisciplinarity and breakthrough ideas (2013) (5)
Distributed Gibbs sampling for latent variable models (2012) (5)
Hidden Markov Models for Endpoint Detection in Plasma Etch Processes (2001) (4)
Modeling individual email patterns over time with latent variable models (2013) (4)
Admissible stochastic complexity models for classification problems (1992) (4)
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis (2016) (4)
The application of information theory to problems in decision tree design and rule-based expert systems (1988) (4)
Distributed and accelerated inference algorithms for probabilistic graphical models (2011) (4)
Variational Reference Priors (2017) (4)
Unsupervised Learning with Permuted Data (2003) (4)
9 Rule Induction using Information Theory (2002) (4)
Personalized location models with adaptive mixtures (2016) (4)
Creativity helps influence Prediction Precision (3)
Latent Set Models for Two-Mode Network Data (2021) (3)
AI-Assisted Decision-making: a Cognitive Modeling Approach to Infer Latent Reliance Strategies (2022) (3)
Automated Induction of Rule-based Neural Networks from Databases (1993) (3)
Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection (1995) (3)
A Trainable Tool for Finding Small volcanoes in SAR Imagery of Venus (1994) (3)
Sequential Pattern Discovery under a Markov Assumption (2002) (3)
Synthesis of minimum-time feedback laws for dynamic systems using neural networks (1994) (3)
EVOLUTION DATA MINING (2002) (3)
Initial results on fault diagnosis of DSN antenna control assemblies using pattern recognition techniques (1990) (3)
A Bayesian Multivariate Nonhomogeneous Markov Model (2015) (3)
Network management tools for a GPS datalink network (1991) (3)
Machine Learning on Very Large Data Sets: Distributed Gibbs Sampling for Latent Variable Models (2012) (3)
Modeling and Understanding Human Behavior on the Web (2003) (3)
Technical perspectiveCreativity helps influence prediction precision (2010) (3)
Approximate Query Answering by Model Averaging (2003) (2)
Commerce on the Web: Models and Applications (2003) (2)
A History of Mobile Communications — 1995 to 2010 (2000) (2)
Learning with Probabilistic Representations (1997) (2)
Processing Boolean queries over Belief networks (2000) (2)
California wildfire spread derived using VIIRS satellite observations and an object-based tracking system (2022) (2)
Learning Stochastic Path Planning Models from Video Images (2004) (2)
Classification Of Disorders Of Anemia On The Basis Of Mixture Model Parameters (2001) (2)
Variance Components Analysis of a Multi-Site fMRI Study (2005) (2)
Image retrieval by content: a machine learning approach (1995) (2)
Fair Generalized Linear Models with a Convex Penalty (2022) (2)
An Efficient Source Coding Scheme For Progressive Image Transmission (1991) (2)
Visualizing and Exploring Data (2001) (2)
Parameter Estimation for Inhomogeneous Markov Random Fields Using PseudoLikelihood (1998) (2)
Forward or backward handover for W-CDMA? (2000) (2)
Predictive Querying for Autoregressive Neural Sequence Models (2022) (2)
Robust Evaluation of Topic Models (2009) (2)
Multi-Instance Mixture Models (2011) (2)
Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework (2003) (2)
Retrieval by Content (2001) (2)
Automating Data Science (Dagstuhl Seminar 18401) (2018) (2)
Real-time antenna fault diagnosis experiments at DSS 13 (1992) (2)
The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach (1994) (1)
Probabilistic model-based detection of bent-double radio galaxies (2002) (1)
A System for Distributed Symbolic Computation (2010) (1)
Variational message-passing: extension to continuous variables and applications in multi-target tracking (2013) (1)
Learning with Mixture Models: Concepts and Applications (2002) (1)
A pattern recognition system for locating small volvanoes in Magellan SAR images of Venus (1993) (1)
Automated monitor and control for deep space network subsystems (1989) (1)
Dynamic Survival Analysis with Individualized Truncated Parametric Distributions (2021) (1)
Analyzing Text and Social Network Data with Probabilistic Models (2012) (1)
Mondrian Processes for Flow Cytometry Analysis (2017) (1)
A Systematic Overeview of Data Mining Algorithms (2001) (1)
Unifying the Dropout Family Through Structured Shrinkage Priors (2018) (1)
EventRank (2005) (1)
Adaptive approximate querying of large sparse binary data sets via probabilistic model averaging (2002) (1)
Automated analysis of the temporal behavior of the double Intertropical Convergence Zone over the east Paci ﬁ c Remote Sensing of Environment (2012) (1)
Learning hierarchical probabilistic models with random effects with applications to time-series and image data (2007) (1)
Fire event prediction for improved regional smoke forecasting (2017) (1)
The Distribution of Cycle Lengths in Graphical Models for Turbo Decoding Technical Report (1999) (1)
Automated rating of patient and physician emotion in primary care visits. (2021) (1)
Bayesian Predictive Profiles With Applications to Retail Transaction Data (2001) (1)
COMPUTER BASED LEARNING (CBL) (2005) (1)
Multiresolution pattern recognition of small volcanos in Magellan data (1992) (1)
Multivariate mixture models for classification of anemias (2000) (1)
Pattern-recognition techniques applied to performance monitoring of the DSS 13 34-meter antenna control assembly (1991) (1)
Synthesis of Optimal Nonlinear Feedback Laws for Dynamic Systems Using Neural Networks (1993) (1)
Adaptive Source Coding Schemes for Geometrically Distributed Integer Alphabets (1993) (1)
Failure monitoring in dynamic systems: Model construction without fault training data (1993) (1)
Bayesian Evaluation of Black-Box Classiﬁers (2019) (1)
Final report: spatio-temporal data mining of scientific trajectory data (2001) (1)
Predictive Modeling for Classification (2001) (1)
Advanced Crawling Techniques (2003) (0)
確率モデルによるWebデータ解析法 : データマイニング技法からe‐コマースまで (2007) (0)
Title Optimal use of land surface temperature data to detect changes in tropical forest cover Permalink (2011) (0)
Low False Alarm Fault Monitoring with Markov Models (1994) (0)
Feature Model for Longitudinal Social Networks (2011) (0)
Research track program chairs'welcome message (2011) (0)
The east Pacific ITCZ complex (northern only, southern only, double) in 30 years of geostationary satellite data (2014) (0)
Turbo Decoding of High Performance Error-Correcting Codes via Belief Propagation (1998) (0)
Task and method selection: selection of tasks (2002) (0)
Uncertainty in artificial intelligence : proceedings of the Twenty-ninth Conference (2013) : July 12-14, 2013, Bellevue, Washington, United States (2013) (0)
The application of information theory to problems in decision tree rule-based expert systems (1988) (0)
Decadal Prediction and Stochastic Simulation of Hydroclimate Over Monsoonal Asia (2015) (0)
A V ISION FOR THE D EVELOPMENT OF B ENCHMARKS TO B RIDGE G EOSCIENCE AND D ATA S CIENCE (2017) (0)
Search and Optimization Methods (2001) (0)
Discussion on the paper by Friedman and Fisher (1999) (0)
Appendix A: Mathematical Complements (2003) (0)
FeedNetBack-D01.04 - Tool Specifications (2010) (0)
Zonally asymmetric response of the intertropical convergence zone to the RCP8.5 scenario (2019) (0)
Entropy-Based Bounds On Redundancies Of Huffman Codes (1992) (0)
Title Detecting the ITCZ in Instantaneous Satellite Data using Spatiotemporal Statistical Modeling : ITCZ Climatology in the East Pacific Permalink (2011) (0)
Fault detection using a two-model test for changes in the parameters of an autoregressive time series (1992) (0)
Scalable statistical estimation methods for large, time-varying networks (2012) (0)
Evaluation Of Threshold Functions For Searches Among Data (1992) (0)
Finding Patterns and Rules (2001) (0)
Finite mixture models: theory and applications for large multivariate, sequential and transaction data sets (2002) (0)
Special issue on best of SIGKDD 2011 (2012) (0)
Zero-Shot Anomaly Detection without Foundation Models (2023) (0)
Data-Driven Discovery Using Probabilistic Hidden Variable Models (2006) (0)
Towards Intelligent Trainable Tools for the Automated Analysis , Cataloging , and Searching of Digital Image Libraries : A Machine Learning Approach (2007) (0)
Data Analysis and Uncertainty (2001) (0)
Making Machine Learning Algorithms Work in Practice (1995) (0)
Learning From Probabilistic Class Labels (1993) (0)
Introduction James Bennett Netflix 100 Winchester Circle Los Gatos , CA 95032 jbennett @ netflix (2007) (0)
A Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations. (2021) (0)
Cycle length distributions in graphical models for iterative decoding (2000) (0)
Automated data collection technologies: supporting effective pavement management systems (2000) (0)
Cross-Validated Likelihood for l\ilodel Selection in Unsupervised Learning (2021) (0)
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013) (2013) (0)
Basic WWW Technologies (2003) (0)
Appendix B: List of Main Symbols and Abbreviations (2003) (0)
Rule Indcution using Information Theory (1991) (0)
An Information Theoretic Approach to Distributed Inference and Learning (1992) (0)
Advances in Knowledge Discovery and Data Mining (2006) (0)
Predictive Modeling for Regression (2001) (0)
Deep Space Network Antenna Monitoring Using Adaptive Time Series Methods and Hidden Markov Models (1993) (0)
Final Technical Report for Collaborative Research: Regional climate-change projections through next-generation empirical and dynamical models, DE-FG02-07ER64429 (2013) (0)
A Brief Tour of Deep Learning from a Statistical Perspective (2023) (0)
Appendix: Random Variables (2001) (0)
STATISTICAL INFERENCE OF BIOLOGICALLY-PLAUSIBLE DYNAMIC REGULATORY NETWORKS WITH CORE-LEAF TOPOLOGY (2005) (0)
Note Set 3: Models, Parameters, and Likelihood (2013) (0)
Score Functions for Data Mining Algorithms (2001) (0)
Learning Generalization Query Models for Transaction Data (0)
Recommending Patents based on Latent Topics (Author's Manuscript) (2013) (0)
Data mining tasks and methods: Clustering: numerical clustering (2002) (0)
A new generation of intelligent trainable tools for analyzing large scientific image databases (1994) (0)
The stability of D‐term cosmic strings (2007) (0)
Stochastic simulation and decadal prediction of hydroclimate in the Western Himalayas (2012) (0)
Types and forms of knowledge (patterns): clusters (2002) (0)
A DDITIVE G AUSSIAN PROCESSES FOR BLENDING GAUGE AND SATELLITE RAINFALL DATA (2015) (0)
Objective Functions For Neural Network Classifier Design (1991) (0)
Anomaly Detection Using Hidden Markov Models (1993) (0)
Note Set 1: Review of Basic Concepts in Probability (2015) (0)
Web Structure Mining: Analyse de Liens (2008) (0)
Studies of regional-scale climate variability and change: Hidden Markov models and coupled ocean-atmosphere modes (2008) (0)
Inference in Directed Acyclic Graphs with Applications to Hidden Markov Model Structures (1995) (0)
Detection of the ITCZ in the east Pacific using Markov random fields on instantaneous satellite data (2010) (0)
Pseudogradient Training For A Class Of Neural Networks (1995) (0)
Variable-Based Calibration for Machine Learning Classifiers (2022) (0)
Comment on article by Rydén (2008) (0)
An Information Theoretic Approach to Modeling Neural Network Expert Systems (1989) (0)
UvA-DARE ( Digital Academic Repository ) Cyclic causal discovery from continuous equilibrium data (2013) (0)
Final Technical Report for "Collaborative Research. Regional climate-change projections through next-generation empirical and dynamical models" (2011) (0)
Final technical report for Decadal Prediction and Stochastic Simulation of Hydroclimate over Monsoonal Asia (2016) (0)
Machine learning and artificial intelligence for wildfire prediction (2021) (0)
Ja n 20 05 Imperial / TP / 041201 KUL-TF-04 / 41 hep-th / 0501212 Stability of Hořava-Witten Spacetimes (2009) (0)
Note Set 2, Multivariate Probability Models: (2012) (0)
Population dynamics of transposable element insertions in Arabidopsis thaliana and Arabidopsis lyrata (2005) (0)
Sampling for ( Coupled ) Infinite Mixture Models in the Stick Breaking Representation Permalink (2006) (0)
Variational Autoencoder ( VAE ) is model comprised of two multilayer perceptrons : one acts as a density network (2017) (0)
Automated Induction Of Rule-Based Neural Networks (1994) (0)
Uncertainty In Artificial Intelligence (2010) (0)
Combining Background Knowledge and Learned Topics Address for Correspondence (2009) (0)
Modeling individual email patterns over time with latent variable models (2013) (0)
A snapshot of neuroscience: unsupervised natural language processing of abstracts from the Society for Neuroscience 2006 annual meeting (2012) (0)
Improved Hidden-Markov-Model Method Of Detecting Faults (1994) (0)
Supplementary Materials : Dropout as a Structured Shrinkage Prior (2019) (0)
Title Diurnal cycle of the Intertropical Convergence Zone in the east Pacific Permalink (2010) (0)
Discrete Recurrent Neural Networks as Pushdown Automata (1993) (0)
Probabilistic Anomaly Detection in Dynamic Systems (1993) (0)
Hidden Markov Models and Neural Networks for Fault Detection (1998) (0)
Algorithm Derives Rules From Data (1991) (0)
Volcano Detection Without Ground Truth (1994) (0)
Probabilistic topic models for information retrieval and concept modeling (2009) (0)
I ' om Data Mining to Knowledge Discovery : Overview (2012) (0)
Data Organization and Databases (2001) (0)
A data set of Intertropical Convergence Zone ( ITCZ ) extent and location in the eastern Pacific , 90 ° W – 180 ° W , 0 ° N – 25 ° (2010) (0)
California wildfire spread derived using VIIRS satellite observations and an object-based tracking system (2022) (0)
Detecting Faults By Use Of Hidden Markov Models (1995) (0)
Probabilistic learning for analysis of sensor-based human activity data (2010) (0)
A Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations (2021) (0)

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