Tom M. Mitchell
#1,575
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Computer scientist
Tom M. Mitchell's AcademicInfluence.com Rankings
Tom M. Mitchellcomputer-science Degrees
Computer Science
#85
World Rank
#91
Historical Rank
#49
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Machine Learning
#6
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#6
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#3
USA Rank
Artificial Intelligence
#23
World Rank
#24
Historical Rank
#13
USA Rank
Database
#341
World Rank
#356
Historical Rank
#158
USA Rank
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Computer Science
Tom M. Mitchell's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
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Why Is Tom M. Mitchell Influential?
(Suggest an Edit or Addition)According to Wikipedia, Tom Michael Mitchell is an American computer scientist and the Founders University Professor at Carnegie Mellon University . He is a founder and former Chair of the Machine Learning Department at CMU. Mitchell is known for his contributions to the advancement of machine learning, artificial intelligence, and cognitive neuroscience and is the author of the textbook Machine Learning. He is a member of the United States National Academy of Engineering since 2010. He is also a Fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science and a Fellow and past President of the Association for the Advancement of Artificial Intelligence. In October 2018, Mitchell was appointed as the Interim Dean of the School of Computer Science at Carnegie Mellon.
Tom M. Mitchell'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
- Combining labeled and unlabeled data with co-training (1998) (5784)
- Text Classification from Labeled and Unlabeled Documents using EM (2000) (3198)
- Toward an Architecture for Never-Ending Language Learning (2010) (1901)
- Generalization as Search (1982) (1809)
- Machine learning classifiers and fMRI: A tutorial overview (2009) (1565)
- Predicting Human Brain Activity Associated with the Meanings of Nouns (2008) (1188)
- Zero-shot Learning with Semantic Output Codes (2009) (929)
- Never-Ending Learning (2012) (870)
- Learning to Extract Symbolic Knowledge from the World Wide Web (1998) (822)
- Learning to Decode Cognitive States from Brain Images (2004) (749)
- WebWatcher : A Learning Apprentice for the World Wide Web (1995) (671)
- Web Watcher: A Tour Guide for the World Wide Web (1997) (666)
- Improving Text Classification by Shrinkage in a Hierarchy of Classes (1998) (630)
- Random Walk Inference and Learning in A Large Scale Knowledge Base (2011) (576)
- The Need for Biases in Learning Generalizations (2007) (548)
- Learning to construct knowledge bases from the World Wide Web (2000) (537)
- Lifelong robot learning (1993) (533)
- Experience with a learning personal assistant (1994) (514)
- Coupled semi-supervised learning for information extraction (2010) (489)
- Version spaces: an approach to concept learning. (1979) (452)
- Learning to Classify Text from Labeled and Unlabeled Documents (1998) (432)
- What can machine learning do? Workforce implications (2017) (422)
- Machine learning and data mining (1999) (399)
- Version Spaces: A Candidate Elimination Approach to Rule Learning (1977) (397)
- Explanation-Based Generalization: A Unifying View (1986) (377)
- LEAP: A Learning Apprentice for VLSI Design (1985) (344)
- Explanation-based generalization: A unifying view (1986) (321)
- Learning by experimentation: acquiring and refining problem-solving heuristics (1993) (295)
- An Overview of Machine Learning (1983) (275)
- Learning to Classify Email into “Speech Acts” (2004) (274)
- What Can Machines Learn, and What Does It Mean for Occupations and the Economy? (2018) (226)
- Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses (2014) (224)
- Ambler: an autonomous rover for planetary exploration (1989) (224)
- An evaluation of machine-learning methods for predicting pneumonia mortality (1997) (222)
- Leveraging Knowledge Bases in LSTMs for Improving Machine Reading (2017) (214)
- A Personal Learning Apprentice (1992) (201)
- Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings (2008) (198)
- Model-directed learning of production rules (1977) (197)
- A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes (2010) (195)
- The Role of Unlabeled Data in Supervised Learning (2004) (193)
- Competence-based Curriculum Learning for Neural Machine Translation (2019) (190)
- Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation (1995) (188)
- Joint Extraction of Events and Entities within a Document Context (2016) (188)
- Learning and Problem Solving (1983) (186)
- Does Machine Learning Really Work? (1997) (185)
- Using unlabeled data to improve text classification (2001) (171)
- Approximate solutions to markov decision processes (1999) (170)
- Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding (2012) (169)
- Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction (2015) (163)
- Becoming Increasingly Reactive (1990) (163)
- Learning One More Thing (1994) (162)
- Semi-Supervised Text Classification Using EM (2006) (162)
- Weakly Supervised Training of Semantic Parsers (2012) (154)
- Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases (2014) (153)
- Explanation-Based Neural Network Learning for Robot Control (1992) (151)
- Memory Approaches to Reinforcement Learning in Non-Markovian Domains (1992) (146)
- GENERATIVE AND DISCRIMINATIVE CLASSIFIERS: NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning (2005) (145)
- MODEL-DIRECTED LEARNING OF PRODUCTION RULES1 (1978) (143)
- Tracking neural coding of perceptual and semantic features of concrete nouns (2012) (140)
- Contextual Parameter Generation for Universal Neural Machine Translation (2018) (137)
- A Case Study in Using Linguistic Phrases for Text Categorization on the WWW (1998) (133)
- Reinforcement learning with hidden states (1993) (132)
- Classifying Instantaneous Cognitive States from fMRI Data (2003) (124)
- Machine learning: a guide to current research (1986) (123)
- Adjunctive rifampicin for Staphylococcus aureus bacteraemia (ARREST): a multicentre, randomised, double-blind, placebo-controlled trial (2017) (122)
- Commonality of neural representations of words and pictures (2011) (122)
- A Knowledge-Based Approach to Design (1984) (117)
- Discovering Relations between Noun Categories (2011) (112)
- Weakly Supervised Extraction of Computer Security Events from Twitter (2015) (112)
- Bayesian Network Learning with Parameter Constraints (2006) (106)
- Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues (2013) (104)
- Discovering Test Set Regularities in Relational Domains (2000) (103)
- Mining Our Reality (2009) (103)
- Aligning context-based statistical models of language with brain activity during reading (2014) (95)
- Coupling Semi-Supervised Learning of Categories and Relations (2009) (95)
- Text clustering with extended user feedback (2006) (95)
- Representation and Use of Explicit Justifications for Knowledge Base Refinements (1985) (90)
- Language-Aware Truth Assessment of Fact Candidates (2014) (89)
- Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders (2019) (88)
- Learning Data Manipulation for Augmentation and Weighting (2019) (87)
- Coupled temporal scoping of relational facts (2012) (85)
- Identifying bilingual semantic neural representations across languages (2012) (84)
- Models of Learning Systems. (1979) (80)
- Selecting Corpus-Semantic Models for Neurolinguistic Decoding (2012) (80)
- Learning Problem-Solving Heuristics Through Practice (1981) (79)
- Joint Concept Learning and Semantic Parsing from Natural Language Explanations (2017) (79)
- Learning from Solution Paths: An Approach to the Credit Assignment Problem (1982) (78)
- Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects (2003) (78)
- Learning reliable manipulation strategies without initial physical models (1990) (78)
- Identifying Autism from Neural Representations of Social Interactions: Neurocognitive Markers of Autism (2014) (76)
- Instructable Intelligent Personal Agent (2016) (75)
- The Effects of Self-Serving vs. Other-Serving Claims of Responsibility on Attraction and Attribution in Groups (1981) (72)
- Track how technology is transforming work (2017) (71)
- Machine Learning: A Historical and Methodological Analysis (1983) (68)
- Acquisition of Appropriate Bias for Inductive Concept Learning (1982) (68)
- Integrating Inductive Neural Network Learning and Explanation-Based Learning (1993) (67)
- A Compositional and Interpretable Semantic Space (2015) (66)
- Detecting Significant Multidimensional Spatial Clusters (2004) (65)
- Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning (2014) (65)
- A Joint Sequential and Relational Model for Frame-Semantic Parsing (2017) (63)
- Estimating Accuracy from Unlabeled Data (2014) (62)
- Populating the Semantic Web by Macro-reading Internet Text (2009) (62)
- Feature selection for grasp recognition from optical markers (2007) (62)
- Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation (2011) (58)
- Predicting dire outcomes of patients with community acquired pneumonia (2005) (56)
- PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations (2019) (56)
- Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x (2014) (55)
- An Analysis of Generalization as a Search Problem (1979) (55)
- A Model for Learning Systems (1977) (53)
- Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models (2009) (52)
- Zero-shot Learning of Classifiers from Natural Language Quantification (2018) (52)
- Challenge problems for artificial intelligence (1996) (51)
- Machine learning, International Edition (1997) (51)
- Acquiring temporal constraints between relations (2012) (49)
- Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach (2017) (46)
- Inferring Interpersonal Relations in Narrative Summaries (2015) (46)
- An Intelligent Aid for Circuit Redesign (1983) (46)
- Learning improved integrity constraints and schemas from exceptions in databases and knowledge bases (1986) (44)
- Translation Invariant Word Embeddings (2015) (44)
- Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects (2003) (44)
- Mind Matters : A Tribute To Allen Newell (1996) (44)
- Integrating Multiple-Study Multiple-Subject fMRI Datasets Using Canonical Correlation Analysis (2009) (43)
- Extracting Knowledge about Users' Activities from Raw Workstation Contents (2006) (43)
- Toward Never Ending Language Learning (2009) (42)
- A learning apprentice system for VLSI design (1986) (41)
- PIDGIN: ontology alignment using web text as interlingua (2013) (41)
- When is Deep Learning the Best Approach to Knowledge Tracing (2020) (40)
- Learning to Tag from Open Vocabulary Labels (2010) (40)
- Screen2Vec: Semantic Embedding of GUI Screens and GUI Components (2021) (39)
- Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar (2014) (37)
- Which Noun Phrases Denote Which Concepts? (2011) (37)
- In Architectures for Intelligence (1989) (36)
- Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary (2015) (36)
- Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs (2020) (35)
- Using EM to Classify Text from Labeled and Unlabeled Documents (1998) (34)
- Inferring pairwise regulatory relationships from multiple time series datasets (2007) (34)
- Estimating Accuracy from Unlabeled Data: A Bayesian Approach (2016) (34)
- A Knowledge Based Approach to VLSI CAD the Redesign System (1984) (34)
- Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches (1993) (34)
- Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models (2013) (34)
- APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions (2018) (34)
- WESTRACK—THE ROAD TO PERFORMANCE-RELATED SPECIFICATIONS (2000) (33)
- WebWatcher: Machine Learning and Hypertext (1995) (33)
- Exploring predictive and reproducible modeling with the single‐subject FIAC dataset (2006) (32)
- WESTRACK FULL-SCALE TEST TRACK: INTERIM FINDINGS (1997) (32)
- Exploring commonalities across participants in the neural representation of objects (2012) (31)
- Sense discovery via co-clustering on images and text (2015) (30)
- Conversational Neuro-Symbolic Commonsense Reasoning (2020) (29)
- On Becoming Reactive (1989) (29)
- The lexical semantics of adjective–noun phrases in the human brain (2019) (28)
- Inferring Ongoing Activities of Workstation Users by Clustering Email (2004) (27)
- Combining computational controls with natural text reveals new aspects of meaning composition (2020) (27)
- Toward combining empirical and analytical methods for inferring heuristics (1984) (27)
- Cognitive Styles and Adaptive Web-based Learning (2005) (25)
- Application of artificial intelligence for chemical inference. XXV. A computer program for automated empirical 13C NMR rule formation (1978) (24)
- Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition (2013) (24)
- Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations (2020) (24)
- Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing (2014) (24)
- Interfaces That Learn: A Learning Apprentice for Calendar Management (1993) (24)
- Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases (1985) (23)
- Contextual Parameter Generation for Knowledge Graph Link Prediction (2020) (23)
- An Entity Graph Based Recommender System (2017) (23)
- WesTrack performance: interim findings (1998) (23)
- Classification in Very High Dimensional Problems with Handfuls of Examples (2007) (22)
- Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field (1999) (22)
- An Apprentice-Based Approach to Knowledge Acquisition (1993) (21)
- Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents (2018) (21)
- Laboratory Experience With the Rapid Chloride Permeability test (1988) (21)
- A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors (2008) (20)
- Coupled semi-supervised learning (2010) (20)
- Detecting Cognitive States Using Machine Learning (2002) (20)
- We Don't Speak the Same Language: Interpreting Polarization through Machine Translation (2020) (20)
- Exploiting parameter domain knowledge for learning in bayesian networks (2005) (20)
- Never-ending language learning (2014) (20)
- Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems (2018) (20)
- Experiments in Robot Learning (1989) (20)
- A Knowledge-Intensive Model for Prepositional Phrase Attachment (2015) (19)
- Understanding language-elicited EEG data by predicting it from a fine-tuned language model (2019) (18)
- Continuous hidden process model for time series expression experiments (2007) (18)
- Representations for Reasoning about Digital Circuits (1981) (18)
- Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis (2016) (18)
- Learning Analytically and Inductively (1995) (17)
- Search war: a game for improving web search (2009) (17)
- Jelly Bean World: A Testbed for Never-Ending Learning (2020) (17)
- Explanation-based learning for mobile-robot perception (1997) (17)
- Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation (2009) (17)
- Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments (2014) (17)
- A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints (2007) (16)
- Hierarchical Latent Dictionaries for Models of Brain Activation (2012) (16)
- A task control architecture for autonomous robots (1990) (16)
- Beyond brain blobs: machine learning classifiers as instruments for analyzing functional magnetic resonance imaging data (2007) (15)
- Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text (2015) (15)
- Hidden process models (2006) (14)
- Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data (2019) (14)
- Learning from Labeled and Unlabeled Data (2017) (14)
- Using Machine Learning to Detect Cognitive States across Multiple Subjects (2003) (13)
- Concept Learning and the General-to-Specific Ordering (1997) (13)
- Relating Simple Sentence Representations in Deep Neural Networks and the Brain (2019) (13)
- Data Analysis Project: Leveraging Massive Textual Corpora Using n-Gram Statistics (2008) (13)
- “A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce”: Learning State Changing Verbs from Wikipedia Revision History (2015) (13)
- Machine Learning of fMRI Virtual Sensors of Cognitive States (2003) (12)
- Learning to Learn Semantic Parsers from Natural Language Supervision (2019) (12)
- Learning from Imperfect Annotations (2020) (11)
- Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization (2013) (11)
- Exploring Hierarchical User Feedback in Email Clustering (2008) (11)
- Recent Advances in Robot Learning (1996) (11)
- LIA: A Natural Language Programmable Personal Assistant (2018) (11)
- BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals (2017) (11)
- Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua (2016) (11)
- CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection (2014) (10)
- Extracting targeted data from the web (2001) (10)
- Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election (2021) (10)
- Embedding learning in a general frame-based architecture (1989) (10)
- Parsing Natural Language Conversations using Contextual Cues (2017) (9)
- Principled Neuro-Functional Connectivity Discovery (2015) (9)
- From Data to Knowledge to Action: A Global Enabler for the 21st Century (2020) (9)
- Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models (2005) (9)
- Reactions to others egocentric claims of responsibility (1979) (9)
- Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2020) (9)
- A Case Study in Robot Exploration (1989) (8)
- Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction (2020) (8)
- PERFORMANCE OF HMA TEST SECTIONS AT WESTRACK (1998) (8)
- Office Automation Systems that are "Programmed" by their Users (1993) (8)
- CMUML System for KBP 2015 Cold Start Slot Filling (2015) (8)
- An agent for learning new natural language commands (2019) (7)
- Gender bias, social bias, and representation: 70 years of BHollywood (2021) (7)
- An End User Development Approach for Failure Handling in Goal-oriented Conversational Agents (2017) (7)
- Predicting Human Brain Activity Associated with Noun Meanings (2007) (7)
- Learning to Tag using Noisy Labels (2010) (7)
- Machine Learning Meets Natural Language (1997) (7)
- An apprentice-based approach to learning problem-solving knowledge (1990) (7)
- Plan-then-compile architectures (1991) (7)
- Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules (2021) (7)
- A Knowledge Based Approach to VLSI CAD (1983) (7)
- Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments (2014) (7)
- Justification-Based Refinement of Expert Knowledge (1991) (6)
- A Probabilistic Generative Grammar for Semantic Parsing (2016) (6)
- Toward a learning robot (1989) (6)
- Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations (2019) (6)
- Computer-Assisted Structure Elucidation Using Automatically Acquired13C NMR Rules (1977) (6)
- Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model (2011) (6)
- Basic Research in Computer Science (1993) (6)
- Look-up and Adapt: A One-shot Semantic Parser (2019) (5)
- Micro Reading with Priors : Towards Second Generation Machine Readers (2014) (5)
- AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand (2015) (5)
- The Semantics of Adjective Noun Phrases in the Human Brain (2016) (5)
- Mixed-initiative clustering (2010) (5)
- Tractable learning and planning in games (1990) (5)
- CMUML System for KBP 2013 Slot Filling (2013) (5)
- Coarse-to-Fine Curriculum Learning (2021) (5)
- Attribute Learning using Joint Human and Machine Computation (2012) (4)
- Turbo‐SMT: Parallel coupled sparse matrix‐Tensor factorizations and applications (2016) (4)
- CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking (2016) (4)
- Discovering Bilingual Lexicons in Polyglot Word Embeddings (2020) (4)
- Toward Mixed-Initiative Email Clustering (2009) (4)
- 1 Semi-Supervised Text Classification Using EM (2006) (4)
- The meaning that emerges from combining words is robustly localizable in space but not in time (2020) (4)
- WESTRACK: PUTTING ITS TO WORK (1997) (4)
- Improving Text Classification by Shrinkage (1998) (4)
- Merging knowledge bases in different languages (2017) (4)
- Challenge Problems for Artificial Intelligence (Panel Statements) (1996) (3)
- Towards General Natural Language Understanding with Probabilistic Worldbuilding (2021) (3)
- CONALD Report on the Workshop on Learning from Text and the Web (1998) (3)
- A Generative Symbolic Model for More General Natural Language Understanding and Reasoning (2021) (3)
- Using human energy fields to sculpt real-time molecular dynamics (2013) (3)
- Assuming Facts Are Expressed More Than Once (2014) (3)
- Learning Classifiers from Declarative Language (2018) (3)
- Autonomous planetary rover at Carnegie Mellon (1990) (3)
- Decoding Word Semantics from Magnetoencephalography Time Series Transformations (2012) (3)
- Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation (2001) (3)
- Proceedings of the International Machine Learning Workshop (3rd) Held in Skytop, Pennsylvania on June 24-26, 1985. (1986) (3)
- Year End Report: Autonomous Planetary Rover at Carnegie Mellon, 1989 (1990) (3)
- Learning Common Features from fMRI Data of Multiple Subjects (2003) (3)
- Web based Malware Detection using Important Supervised Learning Techniques on Online Web Traffic (2016) (2)
- Examining the Relationship between Technology & Engineering Instruction and Technology & Engineering Literacy in K-8 Education (2017) (2)
- Learning in Knowledge-Base Management Systems (1986) (2)
- A comparative analysis of chunking and decision-analytic control (1993) (2)
- The 2005 AAAI Classic Paper Awards (2005) (2)
- Artificial Intelligence Research at Rutgers (1982) (2)
- A report on the NSF-EDRC study of product design processes in selected Japanese companies (1993) (2)
- In Honor of Marvin Minsky's Contributions on his 80th Birthday (2007) (2)
- From journal articles to computational models: a new automated tool (2011) (2)
- Learning to Identify Overlapping and Hidden Cognitive Processes from fMRI Data (2005) (2)
- AAAI 2000 Workshop Reports (2001) (2)
- Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents (2020) (2)
- Supervised Learning (2017) (2)
- WebWatcher: Knowledge Navigation in the World Wide Web (1995) (1)
- Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy? (2019) (1)
- Computational Models of Neural Representations in the Human Brain (2008) (1)
- Inferring users' projects from their workstation contents (2005) (1)
- Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy (2021) (1)
- Gender bias, social bias, and representation: 70 years of BHollywood (2022) (1)
- Demonstration + Natural Language: Multimodal Interfaces for GUI-Based Interactive Task Learning Agents (2021) (1)
- Machine Learning for Analyzing Human Brain Function (2005) (1)
- Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models (2007) (1)
- Automated fMRI Feature Abstraction using Neural Network Clustering Techniques (2006) (1)
- SIGART special issue on machine learning (1981) (1)
- Data Analysis Project : Semi-Supervised Discovery of Named Entities and Relations from the Web (2009) (1)
- Techniques and Methodology Machine Learning : A Historical and Methodological Analysis (2001) (1)
- Discourse in Multimedia: A Case Study in Information Extraction (2018) (1)
- Learning apprentice systems research at Schlumberger (1986) (1)
- The Monk''s Problem''s: A Performance Comparison of Different Learning Methods (1991) (1)
- An Exploration of Teachers' Perception of the Influence of Professional Learning Communities on Their Professional Practices and on Teacher Retention. (2013) (1)
- Human Engineer's Guide to Auditory Displays. Volume 2. Elements of Signal Reception and Resolution Affecting Auditory Displays. (1984) (1)
- Learning Topic-Based Mixture Models for Factored Classification (2005) (1)
- Artificial Intelligence and Human Brain Imaging (2003) (1)
- Learning for Coordination of Vision and Action (1992) (1)
- Data Analysis Project: A Probabilistic Generative Grammar for Semantic Parsing (2017) (1)
- Learning to Ask for Conversational Machine Learning (2019) (1)
- Human Engineer's Guide to Auditory Displays. Volume 1. Elements of Perception and Memory Affecting Auditory Displays. (1984) (1)
- Machine Reading with Background Knowledge (2016) (1)
- Meanings of Nouns Predicting Human Brain Activity Associated with the (2008) (0)
- AI Matures and Flourishes in North America (2003) (0)
- AGGREGATE GRADATION CONTROL - 1. AN ANALYSIS OF CURRENT AGGREGATE GRADATION CONTROL PROGRAMS (1982) (0)
- Learning Analytically and Inductively1 (1999) (0)
- An agent for learning new natural language commands (2019) (0)
- Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health (2022) (0)
- Hierarchical Clustered Hidden Process Models (2006) (0)
- Explanation Based Learning for Mobile Robot Perception to Appear In: Symbolic Visual Learning (1997) (0)
- Neurolinguistic decoding during sentence processing: Exploring the syntax-semantic interface (2017) (0)
- GENERALIZATION As SEARCH / 517 Generalization as Search (2012) (0)
- Machine Leare and Data Mining (1999) (0)
- AI Research at Rutgers (1982) (0)
- Data Mining at CALD-CMU: Tools, Experiences and Research Directions (1997) (0)
- Personal Learning Apprentices (1991) (0)
- Gender bias, social bias, and representation in Bollywood and Hollywood (2022) (0)
- rsonal Learning Apprentice (1992) (0)
- Neural Representations of Word Meanings (2011) (0)
- Can we build learning robots? (abstract) (1990) (0)
- Link e approfondimenti (2000) (0)
- Naval Research Laboratory, Code 5514 Navy Center for Applied Research in Artificial Intelligence 4555 Overlook Ave., S.W., Washington, D.C. 20375-5320 (1992) (0)
- Schematic diagram of the two-level exploratory factor analysis procedure. (2014) (0)
- Correction: Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses (2015) (0)
- The Roles of Symbols in Neural-based AI: They are Not What You Think! (2023) (0)
- Applying Privacy Guidelines—Response (2010) (0)
- Neural Cognitive Architectures for Never-Ending Learning (2019) (0)
- Synthesis (2020) (0)
- Machine Learning (2021) (0)
- A Knowledge-Based Approach toDesign (1985) (0)
- Science Magazine (2008) (0)
- Transferable Student Performance Modeling for Intelligent Tutoring Systems (2022) (0)
- What functional brain imaging reveals about the semantic representation of object knowledge (2008) (0)
- Discovery from brain image data (and more): language in the brain (2019) (0)
- Considerations for Microprocessor-Based Terminal Design. (1978) (0)
- First Workshop on Computational Neurolinguistics Learning Semantic Features for Fmri Data from Definitional Text Concept Classification with Bayesian Multi-task Learning Wordnet Based Features for Predicting Brain Activity Associated with Meanings of Nouns an Investigation on Polysemy and Lexical Or (2010) (0)
- Work and Career considerations in Understanding Employee Turnover Intentions and Turnover: Development of the Turnover Diagnostic. (1984) (0)
- 10-601 Machine Learning , Fall 2012 Homework 2 Instructors : (2012) (0)
- Word Length Processing via Region-to-Region Connectivity (2018) (0)
- Learning, Information Extraction and the Web (2007) (0)
- Streptococcal Mycotic Abdominal Aortic Aneurysm Rupture in an Asplenic Patient (2009) (0)
- Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents (2023) (0)
- Data Mining Using Coupled Matrix-Tensor Factorization (2014) (0)
- Never-Ending Learning for Deep Understanding of Natural Language (2017) (0)
- MVPA does not reveal neural representations of hierarchical linguistic structure in MEG (2021) (0)
- Improving Learning Accuracy in Information (1996) (0)
- Mathematical Foundations of Machine Learning(CS 4783/5783) (2022) (0)
- Game Design for Eliciting Distinguishable Behavior (2019) (0)
- Using Machine Learning to Predict Human Brain Activity Senior Thesis (2009) (0)
- The Internal State of an LLM Knows When its Lying (2023) (0)
- Fall 2011 Colloquium (2011) (0)
- Real Data and Application-based Interactive Modules for Data Science Education in Engineering (2021) (0)
- CHAPTER 2 Estimating Probabilities Machine Learning (2015) (0)
- Spatio-temporal Characteristics of Noun and Verb Processing during Sentence Comprehension in the Brain (2020) (0)
- Machine Learning. Part 1. A Historical and Methodological Analysis. (1983) (0)
- Author's response to reviews of Machine Learning (2001) (0)
- What Language Teachers call Learn From Music Teachers (1999) (0)
- International Journal of Innovative Technology and Exploring Engineering (IJITEE) (2020) (0)
- Intelligent workstation agents and unstructured workstation data (2004) (0)
- WebWatcher : Machine Learning and (1995) (0)
- VERSION SPACES: A CAvDIDATE ELIMPIATICN APPROACH TO RULE LEARNING (2012) (0)
- 10-701 / 15-781 , Machine Learning : Homework 4 (2010) (0)
- Data-driven modelling of learner’s cognitive style in educational hypermedia (2004) (0)
- Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2019) (0)
- Data-driven Modelling Of Learner’s CognitiveStyle In Educational Hypermedia (2004) (0)
- The Effect Of Source Texts And Essay Prompts On Student Writing (2014) (0)
- Machine Learning in the World Wide Web (1995) (0)
- In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel (2003) (0)
- Lifelong Robot Learning 1 (1993) (0)
- Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals (2023) (0)
- Tracking Story Reading in the Brain (2012) (0)
- WIT: Workshop on deriving Insights from user-generated Text (2021) (0)
- 519 Congruence of clinical suspicion of invasive fungal wound infection and biopsy positivity in burn patients (2022) (0)
- AAAI-02 / IAAI-02 Joint Invited Talk : Human Level " Strong " AI : The Prospects and Implications (2002) (0)
- Continuous Discovery of Semantic Knowledge ∗ (2008) (0)
- Can We Replace Programming Languages by Natural Instruction? (2021) (0)
- A New GC Based HMM Algorithm for Disease Classification (2020) (0)
- NUCLEAR CEMENT CONTENT GAGE: INSTRUCTION MANUAL (1975) (0)
- Deploying New Technology To Improve Canada's Underbalanced Operations (2005) (0)
- Results and Discussion References and Acknowledgements (2005) (0)
- Genitourinary Management and Follow-Up for Patients with Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (2023) (0)
- Before editing ... After putting author and date into heading ... (1997) (0)
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