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ACM SIGART Bulletin
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Learning agents for uncertain environments (extended abstract)
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Structured representation of complex stochastic systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
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AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Speech recognition with dynamic Bayesian networks
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Structured probabilistic models: Bayesian networks and beyond
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
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Machine Learning
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Hidden Markov models
Robust temporal and spectral modeling for query By melody
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Planning and Control in Artificial Intelligence: A Unifying Perspective
Applied Intelligence
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Proceedings of the 8th international conference on Intelligent user interfaces
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Decision-Theoretic Approach to Planning, Perception, and Control
IEEE Expert: Intelligent Systems and Their Applications
Modelling Intelligent Behaviour: The Markov Decision Process Approach
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Arc Weights for Approximate Evaluation of Dynamic Belief Networks
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
HSCC '00 Proceedings of the Third International Workshop on Hybrid Systems: Computation and Control
The Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
Two-Phase Updating of Student Models Based on Dynamic Belief Networks
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Spatiotemporal Abstraction of Stochastic Sequential Processes
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Context-specific multiagent coordination and planning with factored MDPs
Eighteenth national conference on Artificial intelligence
The size of MDP factored policies
Eighteenth national conference on Artificial intelligence
Piecewise linear value function approximation for factored MDPs
Eighteenth national conference on Artificial intelligence
Equivalence notions and model minimization in Markov decision processes
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Solving factored MDPs using non-homogeneous partitions
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Proceedings of the 9th international conference on Intelligent user interfaces
Relational sequential inference with reliable observations
ICML '04 Proceedings of the twenty-first international conference on Machine learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Planning, learning and coordination in multiagent decision processes
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Solving factored MDPs with continuous and discrete variables
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Temporal Relevance in Dynamic Decision Networks with Sparse Evidence
Applied Intelligence
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Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A causal approach to hierarchical decomposition of factored MDPs
ICML '05 Proceedings of the 22nd international conference on Machine learning
Who's asking for help?: a Bayesian approach to intelligent assistance
Proceedings of the 11th international conference on Intelligent user interfaces
Inductive reasoning and chance discovery
Minds and Machines - Machine learning as experimental philosophy of science
Tuning representations of dynamic network data
Proceedings of the 3rd international workshop on Link discovery
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
ICML '06 Proceedings of the 23rd international conference on Machine learning
U-director: a decision-theoretic narrative planning architecture for storytelling environments
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Composition of conditional random fields for transfer learning
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Sequential inference with reliable observations: learning to construct force-dynamic models
Artificial Intelligence
Elements of a spoken language programming interface for robots
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Causal Graph Based Decomposition of Factored MDPs
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Selecting treatment strategies with dynamic limited-memory influence diagrams
Artificial Intelligence in Medicine
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
Knowledge-Based Systems
Convergence in Markovian models with implications for efficiency of inference
International Journal of Approximate Reasoning
Rule discovery for event histories
Intelligent Data Analysis
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Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Robotics and Autonomous Systems
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Modeling situated conversational agents as partially observable Markov decision processes
Proceedings of the 13th international conference on Intelligent user interfaces
Inference of gene regulatory networks based on a universal minimum description length
EURASIP Journal on Bioinformatics and Systems Biology
Dynamic Bayesian networks as prognostic models for clinical patient management
Journal of Biomedical Informatics
Adaptive dynamic probabilistic networks for distributed uncertainty processing
Journal of Experimental & Theoretical Artificial Intelligence
COMPARISON OF TWO TYPES OF EVENT BAYESIAN NETWORKS: A CASE STUDY
Applied Artificial Intelligence
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Journal of Intelligent Information Systems
Learning to Detect Adverse Traffic Events from Noisily Labeled Data
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Student Modelling Based on Belief Networks
International Journal of Artificial Intelligence in Education
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Force deployment analysis with generalized grammar
Information Fusion
International Journal of Knowledge-based and Intelligent Engineering Systems
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning
Recent Advances in Reinforcement Learning
New Frontiers in Applied Data Mining
Efficient duration and hierarchical modeling for human activity recognition
Artificial Intelligence
Reinforcement Learning: A Tutorial Survey and Recent Advances
INFORMS Journal on Computing
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Learning Behaviors Models for Robot Execution Control
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Anticipatory Behavior in Adaptive Learning Systems
When gossip is good: distributed probabilistic inference for detection of slow network intrusions
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Value-function-based transfer for reinforcement learning using structure mapping
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Feature-based pronunciation modeling for speech recognition
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Combining Topic Information and Structure Information in a Dynamic Language Model
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Considering Unseen States as Impossible in Factored Reinforcement Learning
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Functional specification of probabilistic process models
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Extending continuous time Bayesian networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
COD: online temporal clustering for outbreak detection
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
User model and utility based power management
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Hidden dynamic probabilistic models for labeling sequence data
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Space-efficient inference in dynamic probabilistic networks
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Reactive combination of belief over time using direct perception
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Efficient solution algorithms for factored MDPs
Journal of Artificial Intelligence Research
On polynomial sized MDP succinct policies
Journal of Artificial Intelligence Research
The first probabilistic track of the international planning competition
Journal of Artificial Intelligence Research
Decision-theoretic planning with non-Markovian rewards
Journal of Artificial Intelligence Research
Solving factored MDPs with hybrid state and action variables
Journal of Artificial Intelligence Research
Probabilistic planning via heuristic forward search and weighted model counting
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
The value of observation for monitoring dynamic systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hierarchical heuristic forward search in Stochastic domains
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Dynamic probabilistic relational models
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
SMDP homomorphisms: an algebraic approach to abstraction in semi-Markov decision processes
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Max-norm projections for factored MDPs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Solving factored MDPs via non-homogeneous partitioning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
An MCMC approach to solving hybrid factored MDPs
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Process-oriented planning and average-reward optimality
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Exploiting structure in policy construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Decomposition techniques for planning in stochastic domains
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Sequential inference with reliable observations: Learning to construct force-dynamic models
Artificial Intelligence
Update rules for parameter estimation in continuous time Bayesian network
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Efficient inference in dynamic belief networks with variable temporal resolution
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Temporal Bayesian networks for scenario recognition
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Active learning of dynamic Bayesian networks in Markov decision processes
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Knowledge representation for stochastic decision processes
Artificial intelligence today
Temporally invariant junction tree for inference in dynamic Bayesian network
Artificial intelligence today
Automated large-scale control of gene regulatory networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Communications of the ACM
Importance Sampling for Continuous Time Bayesian Networks
The Journal of Machine Learning Research
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Computing optimal policies for partially observable decision processes using compact representations
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A qualitative model for temporal reasoning with incomplete information
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A logic and time nets for probabilistic inference
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Model minimization in Markov decision processes
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Structured solution methods for non-Markovian decision processes
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Effective Bayesian inference for stochastic programs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Artificial Intelligence
International Journal of Artificial Intelligence in Education
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Learning the behavior model of a robot
Autonomous Robots
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
The Journal of Machine Learning Research
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts
User Modeling and User-Adapted Interaction
Efficient solutions to factored MDPs with imprecise transition probabilities
Artificial Intelligence
Journal of Intelligent Information Systems
Gender differences and the value of choice in intelligent tutoring systems
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Dynamic Bayesian networks for situational awareness in the presence of noisy data
Proceedings of the 12th International Conference on Computer Systems and Technologies
Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical models
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Modeling narrative-centered tutorial decision making in guided discovery learning
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Combining topic specific language models
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
SPUDD: stochastic planning using decision diagrams
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Distributed planning in hierarchical factored MDPs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Monitoring a complex physical system using a hybrid dynamic bayes net
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Factored particles for scalable monitoring
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Continuous time bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Approximately optimal monitoring of plan preconditions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Policy iteration for factored MDPs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Value-directed belief state approximation for POMDPs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Structured reachability analysis for Markov decision processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Fast belief update using order-of-magnitude probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Probabilistic temporal reasoning with endogenous change
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Stochastic simulation algorithms for dynamic probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Modeling failure priors and persistence in model-based diagnosis
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Correlated action effects in decision theoretic regression
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Defining explanation in probabilistic systems
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Structured arc reversal and simulation of dynamic probabilistic networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Fast value iteration for goal-directed Markov decision processes
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A qualitative Markov assumption and its implications for belief change
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Action networks: a framework for reasoning about actions and change under uncertainty
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A structured, probabilistic representation of action
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Localized partial evaluation of belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A probabilistic calculus of actions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
From conditional oughts to qualitative decision theory
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Tradeoffs in constructing and evaluating temporal influence diagrams
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Forecasting sleep apnea with dynamic network models
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Possibilistic decreasing persistence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A computational scheme for reasoning in dynamic probabilistic networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Solving hybrid markov decision processes
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Learning continuous time bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Hydrologic models for emergency decision support using bayesian networks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
A bayes net toolkit for student modeling in intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Director agent intervention strategies for interactive narrative environments
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
Artificial Intelligence in Medicine
Structured probabilistic inference
International Journal of Approximate Reasoning
Continuous time Bayesian network classifiers
Journal of Biomedical Informatics
Recognizing internal states of other agents to anticipate and coordinate interactions
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
Simulation metamodeling in continuous time using dynamic Bayesian networks
Proceedings of the Winter Simulation Conference
International Journal of Approximate Reasoning
Confidence estimation of feedback information for logicdiagnosis
Engineering Applications of Artificial Intelligence
Model selection in markovian processes
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Classifying the socio-situational settings of transcripts of spoken discourses
Speech Communication
Cyclic causal models with discrete variables: Markov Chain equilibrium semantics and sample ordering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Virtual butler: what can we learn from adaptive user interfaces?
Your Virtual Butler
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Artificial Intelligence in Medicine
Recent progress in road and lane detection: a survey
Machine Vision and Applications
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