Use of Elvira's explanation facility for debugging probabilistic expert systems
Knowledge-Based Systems
Toward Expert Knowledge Representation for Automatic Breast Cancer Detection
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Acting under Interference by other Agents with unknown Goals
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
A decision support system for breast cancer detection in screening programs
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Pareto front feature selection: using genetic programming to explore feature space
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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
Reforestation planning using Bayesian networks
Environmental Modelling & Software
Learning the DAG of bayesian belief networks by asking (conditional) (in-)dependence questions
Proceedings of the fifth international conference on Knowledge capture
Further Steps towards Driver Modeling According to the Bayesian Programming Approach
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Supporting Negotiations over Influence Diagrams
Decision Analysis
Journal of Artificial Intelligence Research
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm
Journal of Data and Information Quality (JDIQ)
From digital forensic report to Bayesian networkrepresentation
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Dynamic trees for sensor fusion
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Reward-modulated hebbian learning of decision making
Neural Computation
Variable elimination for influence diagrams with super value nodes
International Journal of Approximate Reasoning
Comparing risks of alternative medical diagnosis using Bayesian arguments
Journal of Biomedical Informatics
Modeling challenges with influence diagrams: Constructing probability and utility models
Decision Support Systems
Communications of the ACM
Hybrid Bayesian network classifiers: Application to species distribution models
Environmental Modelling & Software
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Original paper: Detecting oestrus by monitoring sows' visits to a boar
Computers and Electronics in Agriculture
A new stochastic algorithm for strategy optimisation in Bayesian influence diagrams
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Environmental Modelling & Software
MMG: a learning game platform for understanding and predicting human recall memory
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
A generalization of independence in naive bayes model
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Optimization of multiple related negotiation through multi-negotiation network
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A classification algorithm for process sequences based on Markov chains and Bayesian networks
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Developing a probabilistic graphical structure from a model of mental-health clinical risk expertise
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Data Mining and Knowledge Discovery
Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
International Journal of Computer Vision
A probabilistic expert system for predicting the risk of Legionella in evaporative installations
Expert Systems with Applications: An International Journal
Inferring interventions in product-based possibilistic causal networks
Fuzzy Sets and Systems
The complexity of finding kth most probable explanations in probabilistic networks
SOFSEM'11 Proceedings of the 37th international conference on Current trends in theory and practice of computer science
Bayesian networks for social modeling
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Macro Programming a Spatial Computer with Bayesian Networks
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Evaluating the difference between graph structures in Gaussian Bayesian networks
Expert Systems with Applications: An International Journal
Influence diagrams in analysis of discrete event simulation data
Winter Simulation Conference
Using four cost measures to determine arc reversal orderings
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
On stopping evidence gathering for diagnostic Bayesian networks
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
When learning naive bayesian classifiers preserves monotonicity
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
A framework for integrated software quality prediction using Bayesian nets
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
SAIFA: A web-based system for Integrated Production of olive cultivation
Computers and Electronics in Agriculture
Psychophysically inspired bayesian occlusion model to recognize occluded faces
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Prioritizing intrusion analysis using Dempster-Shafer theory
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Most probable explanations in Bayesian networks: Complexity and tractability
International Journal of Approximate Reasoning
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
Computers in Biology and Medicine
Pervasive and Mobile Computing
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
Architecture for the use of synergies between knowledge engineering and requirements engineering
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
A conceptual Bayesian net model for integrated software quality prediction
Annales UMCS, Informatica
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Expert Systems with Applications: An International Journal
Belief revision of product-based causal possibilistic networks
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Identification of multi-word expressions by combining multiple linguistic information sources
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
An integrated risk measurement and optimization model for trustworthy software process management
Information Sciences: an International Journal
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
Artificial Intelligence in Medicine
A latent model for collaborative filtering
International Journal of Approximate Reasoning
Extracting qualitative knowledge from medical guidelines for clinical decision-support systems
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Calibrating bayesian network representations of social-behavioral models
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Job performance prediction in a call center using a naive Bayes classifier
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Cost-sensitive classification with unconstrained influence diagrams
SOFSEM'12 Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science
Mining Bayesian networks out of ontologies
Journal of Intelligent Information Systems
Technosocial predictive analytics in support of naturalistic decision making
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
Modelling stress recognition in conflict resolution scenarios
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Solving ramified optimal transport problem in the bayesian influence diagram framework
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Answering queries in hybrid Bayesian networks using importance sampling
Decision Support Systems
Predicting performance via automated feature-interaction detection
Proceedings of the 34th International Conference on Software Engineering
Structured probabilistic inference
International Journal of Approximate Reasoning
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Solving limited memory influence diagrams
Journal of Artificial Intelligence Research
A unified probabilistic approach to referring expressions
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Value of information and mobility constraints for sampling with mobile sensors
Computers & Geosciences
International Journal of Approximate Reasoning
Efficient sensitivity analysis in hidden markov models
International Journal of Approximate Reasoning
Continuous time Bayesian network classifiers
Journal of Biomedical Informatics
Jumping to conclusions: a logico-probabilistic foundation for defeasible rule-based arguments
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Stochastic techniques in influence diagrams for learning bayesian network structure
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
Probabilistic inference and monadic second order logic
TCS'12 Proceedings of the 7th IFIP TC 1/WG 202 international conference on Theoretical Computer Science
Prediction analysis of a wastewater treatment system using a Bayesian network
Environmental Modelling & Software
Recognizing internal states of other agents to anticipate and coordinate interactions
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Simulation metamodeling in continuous time using dynamic Bayesian networks
Proceedings of the Winter Simulation Conference
Expert Systems with Applications: An International Journal
Model development of a Bayesian Belief Network for managing inundation events for wetland fish
Environmental Modelling & Software
Causal discovery of dynamic bayesian networks
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Artificial Intelligence in Medicine
International Journal of Approximate Reasoning
Recognizing occluded faces by exploiting psychophysically inspired similarity maps
Pattern Recognition Letters
Environmental Modelling & Software
Computer Methods and Programs in Biomedicine
Ordering arc-reversal operations when eliminating variables in lazy AR propagation
International Journal of Approximate Reasoning
Bayesian mixed-effects inference on classification performance in hierarchical data sets
The Journal of Machine Learning Research
Modeling crime scenarios in a Bayesian network
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Implementation aspects of self-healing functionality in long term evolution (LTE) networks
Proceedings of the 14th International Conference on Computer Systems and Technologies
Causal belief networks: handling uncertain interventions
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Evaluating asymmetric decision problems with binary constraint trees
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Structure approximation of most probable explanations in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the tree structure used by lazy propagation for inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Environmental Modelling & Software
Sensitivity to hyperprior parameters in Gaussian Bayesian networks
Journal of Multivariate Analysis
Application of Bayesian Networks for Autonomic Network Management
Journal of Network and Systems Management
Aggregating vulnerability metrics in enterprise networks using attack graphs
Journal of Computer Security
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Intelligent Data Analysis
International Journal of Approximate Reasoning
Probabilistic inference with noisy-threshold models based on a CP tensor decomposition
International Journal of Approximate Reasoning
Hi-index | 0.02 |
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models. The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors also provide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes. give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge. give several examples and exercises exploiting computer systems for dealing with Bayesian networks and decision graphs. present a thorough introduction to state-of-the-art solution and analysis algorithms. The book is intended as a textbook, but it can also be used for self-study and as a reference book.