An architecture for bounded rationality
ACM SIGART Bulletin
Understanding Similarity: A Joint Project for Psychology,Case-Based Reasoning, and Law
Artificial Intelligence Review
Recurrent sampling models for the Helmholtz machine
Neural Computation
An introduction to hidden Markov models and Bayesian networks
Hidden Markov models
Bayesian Graphical Models for Software Testing
IEEE Transactions on Software Engineering
Experiments of Fast Learning with High Order Boltzmann Machines
Applied Intelligence
Learning Structure from Data and Its Application to Ozone Prediction
Applied Intelligence
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Calibrated initials for an EM applied to recursive models of categorical variables
Computational Statistics & Data Analysis
New applications of relational event algebra to fuzzy quantification and probabilistic reasoning
Information Sciences—Applications: An International Journal
Predicting project delivery rates using the Naive-Bayes classifier
Journal of Software Maintenance: Research and Practice
Approximate inference in Boltzmann machines
Artificial Intelligence
Maximum likelihood bounded tree-width Markov networks
Artificial Intelligence
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Stereo Matching Using Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Dynamic Trees: Learning to Model Outdoor Scenes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Tracking Discontinuous Motion Using Bayesian Inference
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
An Examination of Probabilistic Value-Ordering Heuristics
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics 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 Similarity-Based Approach to Attribute Selection in User-Adaptive Sales Dialogs
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Fusion Architectures for the Classification of Time Series
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Evaluating Evolutionary Software Systems
PROFES '02 Proceedings of the 4th International Conference on Product Focused Software Process Improvement
Schema Design for Causal Law Mining from Incomplete Database
DS '99 Proceedings of the Second International Conference on Discovery Science
Machine Learning for Computer Graphics: A Manifesto and Tutorial
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Keyword-based queries over web databases
Effective databases for text & document management
Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
Artificial Intelligence
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Characterization of essential graphs by means of the operation of legal merging of components
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Any-time probabilistic switching model using bayesian networks
Proceedings of the 2004 international symposium on Low power electronics and design
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Interestingness of frequent itemsets using Bayesian networks as background knowledge
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Utilization of Hierarchical, Stochastic Relationship Modeling for Hangul Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Stable independence and complexity of representation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Mixtures of deterministic-probabilistic networks and their AND/OR search space
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Iterative conditional fitting for Gaussian ancestral graph models
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Decision making for symbolic probability
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
An empirical evaluation of possible variations of lazy propagation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Convolutional factor graphs as probabilistic models
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Identifying conditional causal effects
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Auxiliary object knowledge influences visually-guided interception behavior
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
Partition-based logical reasoning for first-order and propositional theories
Artificial Intelligence - Special volume on reformulation
Short term performance forecasting in enterprise systems
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Relevance feedback for content-based image retrieval using Bayesian network
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Optimal design in collaborative design network
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Modeling complex multi-issue negotiations using utility graphs
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Graphoid properties of qualitative possibilistic independence relations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Acquiring causal knowledge from text using the connective marker tame
ACM Transactions on Asian Language Information Processing (TALIP)
Estimation and Marginalization Using the Kikuchi Approximation Methods
Neural Computation
Dialogue act recognition with Bayesian networks for Dutch dialogues
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
A minimum message length approach for argument interpretation
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Using argumentation strategies in automated argument generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
International Journal of Robotics Research
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
International Journal of Computer Vision
Feature-based generators for time series data
WSC '05 Proceedings of the 37th conference on Winter simulation
Dense Photometric Stereo: A Markov Random Field Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Probabilistic Macromodeling for QCA Circuits
IEEE Transactions on Computers
Quantitative Disjunctive Logic Programming: semantics and computation
AI Communications
User modeling and adaptation in health promotion dialogs with an animated character
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
Part-of-speech tagging using virtual evidence and negative training
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Determining model accuracy of network traces
Journal of Computer and System Sciences - Special issue: Performance modelling and evaluation of computer systems
A Bayesian belief network for IT implementation decision support
Decision Support Systems
Diagnosis of breast cancer using Bayesian networks: A case study
Computers in Biology and Medicine
Dialogue act recognition under uncertainty using bayesian networks
Natural Language Engineering
Bayesian networks for phone duration prediction
Speech Communication
Computer Methods and Programs in Biomedicine
Data mining techniques for better decisions in human resource management systems
International Journal of Business Information Systems
CAKES-NEGO: Causal knowledge-based expert system for B2B negotiation
Expert Systems with Applications: An International Journal
Computing context-dependent temporal diagnosis in complex domains
Expert Systems with Applications: An International Journal
Predicting causality ascriptions from background knowledge: model and experimental validation
International Journal of Approximate Reasoning
Complexity results for enhanced qualitative probabilistic networks
International Journal of Approximate Reasoning
Revealing uncertainty for information visualization
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Fully distributed EM for very large datasets
Proceedings of the 25th international conference on Machine learning
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
The Journal of Machine Learning Research
Efficient belief propagation for higher-order cliques using linear constraint nodes
Computer Vision and Image Understanding
Minimum Information Loss Cluster Analysis for Categorical Data
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Objective Bayesian probabilistic logic
Journal of Algorithms
Selection of human embryos for transfer by Bayesian classifiers
Computers in Biology and Medicine
Context-Aware Users' Preference Models by Integrating Real and Supposed Situation Data
IEICE - Transactions on Information and Systems
Applied Soft Computing
Mixed deterministic and probabilistic networks
Annals of Mathematics and Artificial Intelligence
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Binary Probability Trees for Bayesian Networks Inference
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
The Probabilistic Interpretation of Model-Based Diagnosis
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Loopy Substructural Local Search for the Bayesian Optimization Algorithm
SLS '09 Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Naïve possibilistic network classifiers
Fuzzy Sets and Systems
Performing Bayesian inference by weighted model counting
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
On the reasoning patterns of agents in games
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A probabilistic approach to marker propagation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A critique of the valiant model
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Causes and explanations: a structural-model approach-part II: explanations
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Reasoning about noisy sensors in the situation calculus
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A Positive Detecting Code and Its Decoding Algorithm for DNA Library Screening
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Attitude adaptation in satisficing games
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Modelling expertise for structure elucidation in organic chemistry using Bayesian networks
Knowledge-Based Systems
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
Hybrid multi-agent systems: integrating swarming and BDI agents
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Conditionals in nonmonotonic reasoning and belief revision: considering conditionals as agents
Conditionals in nonmonotonic reasoning and belief revision: considering conditionals as agents
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
The Journal of Machine Learning Research
Speeding up inference in statistical relational learning by clustering similar query literals
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Optimal framed Aloha based anti-collision algorithms for RFID systems
IEEE Transactions on Communications
Expert Systems with Applications: An International Journal
Using Bayesian networks for root cause analysis in statistical process control
Expert Systems with Applications: An International Journal
Flexible learning of k-dependence Bayesian network classifiers
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Combining link-based and content-based classification method
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Some problems for convex Bayesians
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Representing context-sensitive knowledge in a network formalism: a preliminary report
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
A probabilistic network of predicates
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Representing heuristic knowledge in D-S theory
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
The topological fusion of bayes nets
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Sensor validation using dynamic belief networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Empirical probabilities in monadic deductive databases
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
MESA: maximum entropy by simulated annealing
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Modeling uncertain temporal evolutions in model-based diagnosis
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
R&D analyst: an interactive approach to normative decision system model construction
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Decision making using probabilistic inference methods
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Conditional independence in uncertainty theories
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Towards precision of probabilistic bounds propagation
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
An algorithm for deciding if a set of observed independencies has a causal explanation
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Model complexity vs. performance in the bayesian optimization algorithm
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Modeling People and Places with Internet Photo Collections
Queue - Networks
ACM Transactions on Sensor Networks (TOSN)
Answering queries in hybrid Bayesian networks using importance sampling
Decision Support Systems
Belief Propagation for Min-Cost Network Flow: Convergence and Correctness
Operations Research
Using the max-sum algorithm for supply chain formation in dynamic multi-unit environments
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
A computational model of motor areas based on bayesian networks and most probable explanations
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Stochastic variational inference
The Journal of Machine Learning Research
Finding optimal Bayesian networks using precedence constraints
The Journal of Machine Learning Research
State-of-the-art of intention recognition and its use in decision making
AI Communications
Artificial Intelligence: From programs to solvers
AI Communications - ECAI 2012 Turing and Anniversary Track
Decomposition and Approximation of Loopy Bayesian Networks
Fundamenta Informaticae
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Intelligent Decision Technologies
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From the Publisher:Probabilistic Reasoning in Intelligent Systems is a complete andaccessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertaintyand offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognitionin short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.