Daphne Koller
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Israeli-American computer scientist, (1968 - ), Israel
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Daphne Kollercomputer-science Degrees
Computer Science
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Machine Learning
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Artificial Intelligence
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Computer Science
Daphne Koller's Degrees
- PhD Computer Science Stanford University
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Why Is Daphne Koller Influential?
(Suggest an Edit or Addition)According to Wikipedia, Daphne Koller is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform. Her general research area is artificial intelligence and its applications in the biomedical sciences. Koller was featured in a 2004 article by MIT Technology Review titled "10 Emerging Technologies That Will Change Your World" concerning the topic of Bayesian machine learning.
Daphne Koller'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
- Probabilistic Graphical Models - Principles and Techniques (2009) (6513)
- The Genotype-Tissue Expression (GTEx) project (2013) (6030)
- The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans (2015) (3904)
- Support Vector Machine Active Learning with Applications to Text Classification (2002) (3352)
- FastSLAM: a factored solution to the simultaneous localization and mapping problem (2002) (2826)
- A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules (2003) (2153)
- Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data (2003) (1826)
- Toward Optimal Feature Selection (1996) (1819)
- SCAPE: shape completion and animation of people (2005) (1636)
- Max-Margin Markov Networks (2003) (1495)
- The Immunological Genome Project: networks of gene expression in immune cells (2008) (1448)
- Population genomics of human gene expression (2007) (1203)
- FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges (2003) (1167)
- Self-Paced Learning for Latent Variable Models (2010) (1122)
- Hierarchically Classifying Documents Using Very Few Words (1997) (1113)
- The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes (2008) (975)
- Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks (2004) (867)
- Discriminative Probabilistic Models for Relational Data (2002) (809)
- Context-Specific Independence in Bayesian Networks (1996) (790)
- Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004) (772)
- Decomposing a scene into geometric and semantically consistent regions (2009) (747)
- A module map showing conditional activity of expression modules in cancer (2004) (739)
- Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning (2009) (642)
- Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival (2011) (632)
- Tractable Inference for Complex Stochastic Processes (1998) (627)
- Object-Oriented Bayesian Networks (1997) (619)
- Learning structured prediction models: a large margin approach (2005) (568)
- Link Prediction in Relational Data (2003) (540)
- Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals (2013) (522)
- Multiagent Planning with Factored MDPs (2001) (496)
- Efficient Solution Algorithms for Factored MDPs (2003) (493)
- Single image depth estimation from predicted semantic labels (2010) (485)
- Learning Spatial Context: Using Stuff to Find Things (2008) (468)
- Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes (2014) (466)
- Multi-Class Segmentation with Relative Location Prior (2008) (450)
- Multi-Agent Influence Diagrams for Representing and Solving Games (2001) (443)
- Discriminative learning of Markov random fields for segmentation of 3D scan data (2005) (427)
- Real time motion capture using a single time-of-flight camera (2010) (416)
- From signatures to models: understanding cancer using microarrays (2005) (409)
- Peer and self assessment in massive online classes (2013) (403)
- Learning latent temporal structure for complex event detection (2012) (402)
- Adaptive Probabilistic Networks with Hidden Variables (1997) (397)
- Tuned Models of Peer Assessment in MOOCs (2013) (377)
- Support Vector Machine Active Learning with Application sto Text Classification (2000) (373)
- Towards robust automatic traffic scene analysis in real-time (1994) (372)
- Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression. (2004) (368)
- Probabilistic Frame-Based Systems (1998) (363)
- A probabilistic model for component-based shape synthesis (2012) (358)
- Discovering molecular pathways from protein interaction and gene expression data (2003) (340)
- Real-time identification and localization of body parts from depth images (2010) (339)
- Being Bayesian about Network Structure (2000) (334)
- Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks (2005) (333)
- Constructing informative priors using transfer learning (2006) (330)
- Continuous Time Bayesian Networks (2012) (319)
- Making Rational Decisions Using Adaptive Utility Elicitation (2000) (318)
- Stochastic simulation algorithms for dynamic probabilistic networks (1995) (304)
- Learning Probabilistic Models of Link Structure (2003) (302)
- Probabilistic Classification and Clustering in Relational Data (2001) (302)
- Genome-wide discovery of transcriptional modules from DNA sequence and gene expression (2003) (299)
- Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing (2006) (298)
- Selectivity estimation using probabilistic models (2001) (293)
- Bayesian Fault Detection and Diagnosis in Dynamic Systems (2000) (288)
- P-CLASSIC: A Tractable Probablistic Description Logic (1997) (287)
- Rich probabilistic models for gene expression (2001) (284)
- Efficient Computation of Equilibria for Extensive Two-Person Games (1996) (282)
- Conservation and divergence in the transcriptional programs of the human and mouse immune systems (2013) (279)
- Functional Organization of the S. cerevisiae Phosphorylation Network (2009) (271)
- Learning Probabilistic Models of Relational Structure (2001) (255)
- The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces (2004) (255)
- Active Learning for Structure in Bayesian Networks (2001) (252)
- Max-Margin Parsing (2004) (250)
- From Statistical Knowledge Bases to Degrees of Belief (1996) (249)
- Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases (2016) (242)
- Convergent antibody signatures in human dengue. (2013) (238)
- Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation (2014) (233)
- Efficient Structure Learning of Markov Networks using L1-Regularization (2006) (232)
- Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results (2004) (229)
- Fast algorithms for finding randomized strategies in game trees (1994) (224)
- The complexity of two-person zero-sum games in extensive form (1992) (219)
- Efficient Reinforcement Learning in Factored MDPs (1999) (218)
- Human responses to influenza vaccination show seroconversion signatures and convergent antibody rearrangements. (2014) (214)
- Representations and Solutions for Game-Theoretic Problems (1997) (213)
- FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data (2004) (213)
- Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming (2014) (213)
- Generalizing Plans to New Environments in Relational MDPs (2003) (211)
- Towards robust automatic traffic scene analysis in real-time (1994) (211)
- Word-Sense Disambiguation for Machine Translation (2005) (210)
- Region-based Segmentation and Object Detection (2009) (207)
- Learning a Prior on Regulatory Potential from eQTL Data (2009) (206)
- Learning associative Markov networks (2004) (205)
- A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis (2008) (199)
- Modeling how students learn to program (2012) (197)
- Local Learning in Probabilistic Networks with Hidden Variables (1995) (191)
- Shifting Weights: Adapting Object Detectors from Image to Video (2012) (188)
- Detecting and modeling doors with mobile robots (2004) (185)
- The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies (2013) (181)
- Discriminative learning of relaxed hierarchy for large-scale visual recognition (2011) (180)
- Policy Iteration for Factored MDPs (2000) (180)
- Cascaded Classification Models: Combining Models for Holistic Scene Understanding (2008) (177)
- Automatic Symbolic Traffic Scene Analysis Using Belief Networks (1994) (177)
- Learning a meta-level prior for feature relevance from multiple related tasks (2007) (177)
- Learning Module Networks (2002) (175)
- Identification of transcriptional regulators in the mouse immune system (2013) (175)
- An integrated stereo-based approach to automatic vehicle guidance (1995) (174)
- Integration of Early Physiological Responses Predicts Later Illness Severity in Preterm Infants (2010) (174)
- Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network (2008) (174)
- Computing Factored Value Functions for Policies in Structured MDPs (1999) (172)
- Nonuniform Dynamic Discretization in Hybrid Networks (1997) (170)
- Active Learning for Parameter Estimation in Bayesian Networks (2000) (169)
- Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases (2015) (167)
- Real-Time Human Pose Tracking from Range Data (2012) (166)
- Learning Factor Graphs in Polynomial Time and Sample Complexity (2006) (165)
- Projected Subgradient Methods for Learning Sparse Gaussians (2008) (163)
- Effects of Aging, Cytomegalovirus Infection, and EBV Infection on Human B Cell Repertoires (2014) (161)
- High-resolution antibody dynamics of vaccine-induced immune responses (2014) (160)
- A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets (1999) (157)
- Efficiently selecting regions for scene understanding (2010) (156)
- Discriminative learning with latent variables for cluttered indoor scene understanding (2010) (153)
- Sharing and Specificity of Co-expression Networks across 35 Human Tissues (2014) (146)
- Finding the hidden path: time bounds for all-pairs shortest paths (1991) (144)
- Learning Continuous Time Bayesian Networks (2002) (142)
- Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification (2006) (142)
- Sentence Simplification for Semantic Role Labeling (2008) (141)
- Probabilistic Entity-Relationship Models, PRMs, and Plate Models (2004) (140)
- Multi-agent algorithms for solving graphical games (2002) (139)
- Genovo: De Novo Assembly for Metagenomes (2010) (139)
- Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing (2013) (135)
- Max-margin Classification of Data with Absent Features (2008) (134)
- Context-specific multiagent coordination and planning with factored MDPs (2002) (134)
- SPOOK: A system for probabilistic object-oriented knowledge representation (1999) (132)
- Using Probabilistic Information in Data Integration (1997) (132)
- From promoter sequence to expression: a probabilistic framework (2002) (129)
- Probabilistic Models for Relational Data (2004) (128)
- Discovering Hidden Variables: A Structure-Based Approach (2000) (128)
- Max-norm Projections for Factored MDPs (2001) (128)
- Update Rules for Parameter Estimation in Bayesian Networks (1997) (125)
- A segmentation-aware object detection model with occlusion handling (2011) (121)
- Decomposing Gene Expression into Cellular Processes (2002) (120)
- Accelerated dual decomposition for MAP inference (2010) (119)
- Effective Bayesian Inference for Stochastic Programs (1997) (117)
- Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots (2002) (117)
- Recovering Articulated Object Models from 3D Range Data (2004) (113)
- Learning an Agent's Utility Function by Observing Behavior (2001) (110)
- Integrating Visual and Range Data for Robotic Object Detection (2008) (109)
- Random worlds and maximum entropy (1992) (109)
- Active Classification based on Value of Classifier (2011) (108)
- Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action (2010) (108)
- Using Learning for Approximation in Stochastic Processes (1998) (102)
- Planning under uncertainty in complex structured environments (2003) (101)
- Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2014) (101)
- Probabilistic Models of Text and Link Structure for Hypertext Classification (2001) (99)
- Timing of Gene Expression Responses to Environmental Changes (2009) (99)
- Probabilistic Relational Models (1999) (96)
- Learning Probabilities for Noisy First-Order Rules (1997) (96)
- A Complex-based Reconstruction of the Saccharomyces cerevisiae Interactome *S⃞ (2009) (94)
- Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2013) (93)
- A Continuation Method for Nash Equilibria in Structured Games (2003) (92)
- Achievable cases in an asynchronous environment (1987) (86)
- Combining the Right Features for Complex Event Recognition (2013) (85)
- From Statistics to Beliefs (1992) (84)
- Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks (2005) (83)
- Discovering the Hidden Structure of Complex Dynamic Systems (1999) (82)
- Utilities as Random Variables: Density Estimation and Structure Discovery (2000) (81)
- Learning specific-class segmentation from diverse data (2011) (80)
- Automated identification of pathways from quantitative genetic interaction data (2010) (78)
- Expectation Propagation for Continuous Time Bayesian Networks (2005) (78)
- Exact Inference in Networks with Discrete Children of Continuous Parents (2001) (77)
- Probabilistic Graphical Models (2009) (76)
- Fine-Grained Categorization for 3D Scene Understanding (2012) (74)
- Constructing small sample spaces satisfying given constraints (1993) (73)
- InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale (2007) (72)
- Statistical Foundations for Default Reasoning (1993) (72)
- Sampling in Factored Dynamic Systems (2001) (70)
- Using Combinatorial Optimization within Max-Product Belief Propagation (2006) (68)
- Approximate Learning of Dynamic Models (1998) (67)
- A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients. (2009) (67)
- Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net (2002) (65)
- Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases (1995) (65)
- A combined pose, object, and feature model for action understanding (2012) (65)
- Restricted Bayes Optimal Classifiers (2000) (64)
- Normalizing RNA-Sequencing Data by Modeling Hidden Covariates with Prior Knowledge (2013) (63)
- Semantics and Inference for Recursive Probability Models (2000) (61)
- Solving Factored POMDPs with Linear Value Functions (2001) (61)
- Probabilistic discovery of overlapping cellular processes and their regulation (2004) (60)
- Exploiting the Architecture of Dynamic Systems (1999) (59)
- Generating and Solving Imperfect Information Games (1995) (57)
- Shape-Based Object Localization for Descriptive Classification (2008) (55)
- Finding mixed strategies with small supports in extensive form games (1996) (52)
- Object Pose Detection in Range Scan Data (2006) (52)
- Reasoning at the Right Time Granularity (2007) (51)
- First-order conditional logic for default reasoning revisited (2000) (48)
- Understanding tuberculosis epidemiology using structured statistical models (2004) (48)
- Learning Bayesian Networks from Data (2001) (48)
- A game-theoretic classification of interactive complexity classes (1995) (47)
- Conserved Genetic Modules 5 / 29 / 2003 1 A gene co-expression network for global discovery of conserved genetic modules in H . sapiens , D . melanogaster , C . elegans , and S . cerevisiae (2003) (46)
- Representation Dependence in Probabilistic Inference (1995) (46)
- Multi-level inference by relaxed dual decomposition for human pose segmentation (2011) (45)
- Learning Object Shape: From Drawings to Images (2006) (43)
- The transcriptional landscape of ab T cell differentiation (2013) (42)
- Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2013) (42)
- Learning Probabilistic Relational Models with Structural Uncertainty (2000) (40)
- Online Word Games for Semantic Data Collection (2008) (39)
- Policy Search via Density Estimation (1999) (39)
- MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts (2009) (38)
- Probabilistic Abstraction Hierarchies (2001) (37)
- Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium) (2014) (36)
- Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains (2014) (35)
- Constrained Approximate Maximum Entropy Learning of Markov Random Fields (2008) (34)
- Max-Margin Min-Entropy Models (2012) (33)
- Discovering Deformable Motifs in Continuous Time Series Data (2011) (33)
- Learning on the Test Data: Leveraging Unseen Features (2003) (33)
- Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale (2004) (32)
- Convex envelopes of complexity controlling penalties: the case against premature envelopment (2011) (32)
- Structured Representation of Complex Stochastic Systems (1998) (32)
- Asymptotic Conditional Probabilities: The Unary Case (1996) (32)
- Alphabet SOUP: A framework for approximate energy minimization (2009) (31)
- Reinforcement Learning Using Approximate Belief States (1999) (31)
- Probabilistic Models for Agent's Beliefs and Decisions (2000) (30)
- Label and Link Prediction in Relational Data (2003) (29)
- (De)randomized construction of small sample spaces in /spl Nscr//spl Cscr/ (1994) (29)
- Transfer learning by constructing informative priors (2005) (28)
- SLAM Updates Require Constant Time (2002) (28)
- 3D segmentation of cell boundaries from whole cell cryogenic electron tomography volumes. (2010) (28)
- Multiclass Boosting with Hinge Loss based on Output Coding (2011) (28)
- Max-margin classification of incomplete data (2006) (27)
- 2009 IEEE 12th International Conference on Computer Vision (ICCV) (2009) (26)
- Using Feature Hierarchies in Bayesian Network Learning (2000) (26)
- Adaptive Probabilistic Networks (1994) (26)
- Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (2001) (26)
- Asymptotic conditional probabilities: The non-unary case (1996) (25)
- What Makes a Good Detector? - Structured Priors for Learning from Few Examples (2012) (25)
- Correlation of preterm infant illness severity with placental histology. (2016) (24)
- Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing (2013) (23)
- Irrelevance and Conditioning in First-Order Probabilistic Logic (1996) (23)
- Probabilistic hierarchical clustering for biological data (2002) (23)
- Module Networks : Discovering Regulatory Modules and their Condition Specific Regulators from Gene Expression Data (2003) (22)
- Non-Local Contrastive Objectives (2010) (22)
- Modeling Latent Variable Uncertainty for Loss-based Learning (2012) (22)
- Self-Driven Mastery in Massive Open Online Courses (2013) (21)
- Generating New Beliefs from Old (1994) (21)
- Discovering shared and individual latent structure in multiple time series (2010) (20)
- Continuous Time Markov Networks (2006) (20)
- Crowd-scale interactive formal reasoning and analytics (2013) (19)
- Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes. (2010) (18)
- From Instances to Classes in Probabilistic Relational Models (2000) (17)
- Applying Sentence Simplification to the CoNLL-2008 Shared Task (2008) (15)
- of Conserved Genetic Modules A Gene-Coexpression Network for Global Discovery (2008) (15)
- Asymptomatic conditional probabilities for first-order logic (1992) (15)
- GeneXPress : A Visualization and Statistical Analysis Tool for Gene Expression and Sequence Data (15)
- Imputing gene expression from optimally reduced probe sets (2012) (14)
- Learning Factor Graphs in Polynomial Time & Sample Complexity (2005) (13)
- Inferring Multidimensional Rates of Aging from Cross-Sectional Data (2018) (13)
- First-Order Conditional Logic Revisited (1996) (13)
- Forming Beliefs about a Changing World (1994) (12)
- The online revolution: education for everyone (2013) (12)
- Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks (2006) (12)
- The Online Revolution: Education at Scale (2012) (11)
- Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001) (2001) (11)
- GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features (2011) (10)
- Ignorable Information in Multi-Agent Scenarios (2008) (9)
- An Active Learning Approach to Finding Related Terms (2010) (9)
- A Unified Contour-Pixel Model for Figure-Ground Segmentation (2010) (9)
- Fault-Tolerant Critical Section Management in Asynchronous Environments (1991) (8)
- Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation (2015) (8)
- Peptide-Spectra Matching with Weak Supervision (2018) (8)
- Learning a Small Mixture of Trees (2009) (8)
- Structured Probabilistic Models: Bayesian Networks and Beyond (1998) (8)
- Correction: The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies (2013) (8)
- The role of AI in digital libraries (1996) (7)
- 2 Graphical Models in a Nutshell (2008) (7)
- The Online Revolution: Learning without Limits (2013) (7)
- TRECVID 2012 GENIE: Multimedia Event Detection and Recounting (2012) (7)
- Convex Point Estimation using Undirected Bayesian Transfer Hierarchies (2008) (7)
- Towards Dependable Perception : Guaranteed Inference for Global Localization (2010) (6)
- Mid-level Features Improve Recognition of Interactive Activities (2012) (6)
- Efficient inference in Bayesian networks (1998) (6)
- 5 Probabilistic Relational Models (2008) (6)
- Transfer Learning of Object Classes : From Cartoons to Photographs (1992) (5)
- A Fast and Exact Energy Minimization Algorithm for Cycle MRFs (2013) (5)
- Timing properties of gene expression responses to environmental changes (2009) (5)
- A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis (2012) (4)
- MOOCS: What Have We Learned? (2015) (4)
- Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data (2018) (4)
- Guaranteed Inference for Global State Estimation in Human Environments (2010) (4)
- Structured models for multi-agent interactions (2001) (4)
- A RESPONSE TO “BELIEVING ON THE BASIS OF THE EVIDENCE” (1994) (4)
- Generating Degrees of Belief from Statistical Information: An Overview (1993) (3)
- Qualitative Planning under Assumptions: A Preliminary Report (1994) (3)
- A Logic for Approximate Reasoning (1992) (3)
- Achievable Cases in an Asynchronous Environment (Extended Abstract) (1987) (3)
- A Ga,me-Theoretic Classification of Interactive Complexity Classes (Est ended Abstract ) (1995) (2)
- Fault-Tolerant Critical Section Management in Asynchronous Networks (1989) (2)
- Simultaneous and Mapping With Sparse Extended Information (2014) (2)
- Learning Statistical Patterns in Relational Data Using Probabilistic Relational Models (2005) (2)
- Multi-Agent Planning in Complex Uncertain Environments (2004) (2)
- Proceedings of the 20th International Conference on Neural Information Processing Systems (2007) (2)
- Learning models of shape from three-dimensional range data (2006) (2)
- Structured representations and intractability (1996) (1)
- LOOPS: Localizing Object Outlines using Probabilistic Shape (2008) (1)
- Erratum: Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (Molecular Systems Biology (2013) 9 (659) DOI: 10.1038/msb.2013.15) (2013) (1)
- Uncertainty in artificial intelligence : proceedings of the Seventeenth Conference (2001) : August 2-5, 2001, University of Washington, Seattle, Washington (2001) (1)
- From knowledge to belief (1994) (1)
- 6 Relational Markov Networks (2007) (1)
- Learning the Structure of Utility Functions (1999) (1)
- Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 (2008) (1)
- Probability Estimation in Face of Irrelevant Information (1991) (1)
- Uncertainty in artificial intelligence : proceedings of the Eighteenth Conference (2002) : August 1-4, 2002, University of Alberta, Edmonton (2002) (1)
- MMKnots : A max-margin model for RNA secondary structure prediction including pseudoknots (2016) (0)
- Statistical learning from relational data (2003) (0)
- Understanding Gene Regulatory Networks and Their Variations (2010) (0)
- Transcriptional insights into the CD8[superscript +] T cell response to infection and memory T cell formation (2013) (0)
- GAMING Connected Gaming : What Making Video Games (2017) (0)
- influences survival in follicular lymphoma patients A pluripotency signature predicts histologic tra (2012) (0)
- Title : Hierarchically classifying documents using very few wordsAuthors : (1997) (0)
- Representing Complex Distributions, contd (0)
- Machine learned histological fibrosis score empowers characterization of baseline gene signatures associated with fibrosis progression or regression in a NASH F3/F4 clinical trial (2022) (0)
- A GRAPH REGULARIZATION BASED APPROACH FOR GENE SCORING AND GENE SET SELECTION AS APPLIED TO GLIOBLASTOMA MULTIFORME (2012) (0)
- Local Algorithms for Finding Equilibria in Structured Games (2002) (0)
- Filling missing components in yeast metabolic pathways using heterogeneous data (0)
- UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001 (2001) (0)
- Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems (2018) (0)
- Sensors & Symbols: An Integrated Framework (1999) (0)
- Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems (2018) (0)
- Inbred Mouse Strains Expression in Primary Immunocytes across Variation and Genetic Control of Gene (2014) (0)
- Knowledge Representation for an Uncertain World. (1997) (0)
- RepertoiresEBV Infection on Human B Cell Effects of Aging, Cytomegalovirus Infection, (2015) (0)
- NpgRj_Ng_2142 1..8 (2007) (0)
- Title: Hierarchically Classifying Documents Using Very Few Words Authors: Hierarchically Classifying Documents Using Very Few Words (1998) (0)
- Constructing Small Sample Spaces for De � Randomization of Algorithms (2004) (0)
- Towfique Raj Risk Alleles in Leukocytes Polarization of the Effects of Autoimmune and Neurodegenerative (2014) (0)
- [Relevance of health geographic research for dermatology]. (2021) (0)
- Representing Complex Distributions (0)
- Modeling Instance Appearance for Recognition - Can We Do Better Than EM? (2013) (0)
- An allelic series rare variant association test for candidate gene discovery (2023) (0)
- Learning to improve our lives (2009) (0)
- P-CLASSIC: A traCtabk escription logic (1999) (0)
- A Predictive Model of Gene Expression in E. Coli (2008) (0)
- Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort (2022) (0)
- Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis (2020) (0)
- IDENTIFYING GENETIC DRIVERS OF CANCER MORPHOLOGY (2012) (0)
- Features Associated with Survival Systematic Analysis of Breast Cancer Morphology Uncovers Stromal (2011) (0)
- Optimality, Robustness, and Noise in Metabolic Network Control (2007) (0)
- Abstract B121: An oncogene-linked prodrug strategy in lung cancer (2019) (0)
- Learning Probabilistic Models from Relational Data |Invited Lecture| (0)
- Proceedings of the 21st International Conference on Neural Information Processing Systems (2008) (0)
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