Learning and Updating of Uncertainty in Dirichlet Models
Machine Learning
Robust Learning with Missing Data
Machine Learning
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
Strong Conditional Independence for Credal Sets
Annals of Mathematics and Artificial Intelligence
A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation
User Modeling and User-Adapted Interaction
On predictive distributions and Bayesian networks
Statistics and Computing
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization
Pattern Recognition Letters
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Predicting project delivery rates using the Naive-Bayes classifier
Journal of Software Maintenance: Research and Practice
Statistical Abduction with Tabulation
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Parameterized Logic Programs where Computing Meets Learning
FLOPS '01 Proceedings of the 5th International Symposium on Functional and Logic Programming
A Structural Characterization of DAG-Isomorphic Dependency Models
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
EM Learning for Symbolic-Statistical Models in Statistical Abduction
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
An Unsupervised Bayesian Distance Measure
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Data Mining with Graphical Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Decision Making and Uncertainty Management in a 3D Reconstruction System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent data analysis
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Resource scheduling on grid: handling uncertainty
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
The Knowledge Engineering Review
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Journal of Biomedical Informatics
Constrained abductive reasoning with fuzzy parameters in Bayesian networks
Computers and Operations Research
Can user models be learned at all? Inherent problems in machine learning for user modelling
The Knowledge Engineering Review
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Supply chain diagnostics with dynamic Bayesian networks
Computers and Industrial Engineering
On the use of Bayesian Networks to develop behaviours for mobile robots
Robotics and Autonomous Systems
Journal of Biomedical Informatics
A web-based bayesian intelligent tutoring system for computer programming
Web Intelligence and Agent Systems
Operating with potentials of discrete variables
International Journal of Approximate Reasoning
Missing values prediction with K2
Intelligent Data Analysis
Supervised model-based visualization of high-dimensional data
Intelligent Data Analysis
A model for parameter setting based on Bayesian networks
Engineering Applications of Artificial Intelligence
Belief updating in Bayesian networks by using a criterion of minimum time
Pattern Recognition Letters
Using artificial intelligent techniques to build adaptative tutoring systems
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Wrapper discretization by means of estimation of distribution algorithms
Intelligent Data Analysis
Journal of Biomedical Informatics
Encoding fuzzy possibilistic diagnostics as a constrained optimization problem
Information Sciences: an International Journal
Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Extreme inaccuracies in Gaussian Bayesian networks
Journal of Multivariate Analysis
Environmental Modelling & Software
A Bayesian network model for surface roughness prediction in the machining process
International Journal of Systems Science
A simple graphical approach for understanding probabilistic inference in Bayesian networks
Information Sciences: an International Journal
Supervised classification using probabilistic decision graphs
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A decision support system for detecting products missing from the shelf based on heuristic rules
Decision Support Systems
Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning
Triangulation of Bayesian networks with recursive estimation of distribution algorithms
International Journal of Approximate Reasoning
Simplifying Learning in Non-repetitive Dynamic Bayesian Networks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Environmental Modelling & Software
A join tree probability propagation architecture for semantic modeling
Journal of Intelligent Information Systems
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
A Rule-Based Multi-agent System for Road Traffic Management
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A conditional independence algorithm for learning undirected graphical models
Journal of Computer and System Sciences
Analyzing the probability of the optimum in EDAs based on Bayesian networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A formal comparison of variable elimination and arc reversal in Bayesian network inference
Intelligent Decision Technologies
Learning hybrid Bayesian networks using mixtures of truncated exponentials
International Journal of Approximate Reasoning
Probabilistic models to assist maintenance of multiple instruments
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Boolean algebraic structures of the genetic code: possibilities of applications
KDECB'06 Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics
Data mining using links in open hypermedia
MIS'02 Proceedings of the 2002 international conference on Metainformatics
Different Bayesian network models in the classification of remote sensing images
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Hybrid Bayesian network classifiers: Application to species distribution models
Environmental Modelling & Software
Goal oriented symbolic propagation in Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Learning an L1-regularized Gaussian Bayesian network in the equivalence class space
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Goal detection from natural language queries
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Fuzzy cognitive maps for modeling complex systems
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
A probabilistic expert system for predicting the risk of Legionella in evaporative installations
Expert Systems with Applications: An International Journal
Bayesian network classifiers. an application to remote sensing image classification
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
A fuzzy cognitive maps modeling, learning and simulation framework for studying complex system
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Expert Systems with Applications: An International Journal
Evaluating probabilistic inference techniques: a question of "When," not "Which"
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Variational approximations between mean field theory and the junction tree algorithm
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Exploiting qualitative knowledge in the learning of conditional probabilities of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Query expansion in information retrieval systems using a Bayesian network-based thesaurus
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Marginalizing in undirected graph and hypergraph models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The cognitive processing of causal knowledge
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Tail sensitivity analysis in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Predict on-shelf product availability in grocery retailing with classification methods
Expert Systems with Applications: An International Journal
Knowledge-Based operations for graphical models in planning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Abductive inference in bayesian networks: finding a partition of the explanation space
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Probabilistic graphical models for the diagnosis of analog electrical circuits
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
Expert Systems with Applications: An International Journal
Diagnosis from bayesian networks with fuzzy parameters – a case in supply chains
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
On the use of brain decoded signals for online user adaptive gesture recognition systems
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
An improved LAZY-AR approach to bayesian network inference
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Auditing and inference control for privacy preservation in uncertain environments
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Automatic categorisation of comments in social news websites
Expert Systems with Applications: An International Journal
Using artificial intelligence to predict surface roughness in deep drilling of steel components
Journal of Intelligent Manufacturing
Opcode sequences as representation of executables for data-mining-based unknown malware detection
Information Sciences: an International Journal
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
Modelling, aggregation and simulation of a dynamic biological system through fuzzy cognitive maps
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Reversing the effects of tokenisation attacks against content-based spam filters
International Journal of Security and Networks
On semantics of inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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From the Publisher:Expert systems and uncertainty in artificial intelligence have seen a great surge of research activity during the last decade. This book provides a clear and up-to-date account of the research progress in these areas. The authors begin with a survey of rule-based expert systems, which are mainly applicable to deterministic situations. Since most practical applications involve some degree of uncertainty, the authors then introduce probabilistic expert systems to deal with this element of uncertainty. They build on this foundation by showing how coherent expert systems are constructed and how probabilistic models such as Bayesian and Markov networks are developed. Subsequent chapters discuss how knowledge is updated by using both exact and approximate propagation methods. Other subjects such as symbolic propagation, sensitivity analysis, and learning are also presented. The book concludes with a chapter that applies the methods presented in the book to some case studies of real-life applications. The concepts, ideas, and algorithms are illustrated by more than 150 examples and more than 250 graphs with the aid of computer programs developed by the authors. These programs can be obtained from a World Wide Web site (see the address in the preface). The book also includes end-of-chapter exercises and an extensive bibliography. This book is intended for advanced undergraduate and graduate students, and for research workers and professionals from a variety of fields, including computer science, applied mathematics, statistics, engineering, medicine, business, economics, and social sciences. No previous knowledge of expert systems is assumed. Readers are assumed to have some background in probability and statistics.