A first glimpse of cryptography's Holy Grail
Communications of the ACM
Using the forest to see the trees: exploiting context for visual object detection and localization
Communications of the ACM
Inferring Knowledge from Active Learning Simulators for Physics
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Large-scale bot detection for search engines
Proceedings of the 19th international conference on World wide web
Distributed algorithm for collaborative detection in cognitive radio networks
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Modeling discrete interventional data using directed cyclic graphical models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs
Proceedings of the 24th ACM International Conference on Supercomputing
Probabilistic graphical models for semi-supervised traffic classification
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Multi-label learning by exploiting label dependency
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Service operation classification for risk management
IBM Journal of Research and Development
Mobile social signal processing: vision and research issues
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Communications of the ACM
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
The Journal of Machine Learning Research
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Designing adaptive feedback for improving data entry accuracy
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Computer-generated residential building layouts
ACM SIGGRAPH Asia 2010 papers
Joint entity and relation extraction using card-pyramid parsing
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Situation-specific intention recognition for human-robot cooperation
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Towards software health management with bayesian networks
Proceedings of the FSE/SDP workshop on Future of software engineering research
On parameter learning in CRF-based approaches to object class image segmentation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Implementing First-Order Variables in a Graphical Cognitive Architecture
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
Sharing-aware horizontal partitioning for exploiting correlations during query processing
Proceedings of the VLDB Endowment
Annotating and searching web tables using entities, types and relationships
Proceedings of the VLDB Endowment
Proceedings of the 32nd DAGM conference on Pattern recognition
Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited
Proceedings of the fourth ACM international conference on Web search and data mining
Faster query answering in probabilistic databases using read-once functions
Proceedings of the 14th International Conference on Database Theory
Signal/collect: graph algorithms for the (semantic) web
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
Probabilistic ontology trees for belief tracking in dialog systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Computational Linguistics
Interaction graphs for multivariate binary data
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
FSM model abstraction for analog/mixed-signal circuits by learning from I/O trajectories
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
The Journal of Machine Learning Research
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Probabilistic reasoning for assembly-based 3D modeling
ACM SIGGRAPH 2011 papers
Products of weighted logic programs
Theory and Practice of Logic Programming
Multi-dimensional classification with Bayesian networks
International Journal of Approximate Reasoning
Component-based construction of bio-pathway models: The parameter estimation problem
Theoretical Computer Science
Measure transformer semantics for Bayesian machine learning
ESOP'11/ETAPS'11 Proceedings of the 20th European conference on Programming languages and systems: part of the joint European conferences on theory and practice of software
Multi-objective optimization with joint probabilistic modeling of objectives and variables
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
A bayesian approach to online performance modeling for database appliances using gaussian models
Proceedings of the 8th ACM international conference on Autonomic computing
Unsupervised learning of hierarchical representations with convolutional deep belief networks
Communications of the ACM
A cooperative coevolutionary genetic algorithm for learning bayesian network structures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Unsupervised word alignment with arbitrary features
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Learning online discussion structures by conditional random fields
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Exploiting structure in weighted model counting approaches to probabilistic inference
Journal of Artificial Intelligence Research
Diversity in ranking via resistive graph centers
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Join tree propagation utilizing both arc reversal and variable elimination
International Journal of Approximate Reasoning
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
Finding P-maps and I-maps to represent conditional independencies
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
From memory to problem solving: mechanism reuse in a graphical cognitive architecture
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Abductive plan recognition by extending Bayesian logic programs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Efficiently approximating Markov tree bagging for high-dimensional density estimation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Context-aware fall detection using a Bayesian network
CASEMANS '11 Proceedings of the 5th ACM International Workshop on Context-Awareness for Self-Managing Systems
A hybrid factored frontier algorithm for dynamic Bayesian network models of biopathways
Proceedings of the 9th International Conference on Computational Methods in Systems Biology
Recent advances and trends in visual tracking: A review
Neurocomputing
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Comparison analysis of video game purchase factors between Japanese and American consumers
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Tackling the DREAM challenge for gene regulatory networks reverse engineering
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Advanced Engineering Informatics
Higher order Markov networks for model estimation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Evaluating probabilistic inference techniques: a question of "When," not "Which"
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
DC proposal: graphical models and probabilistic reasoning for generating linked data from tables
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
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
The von Mises naive Bayes classifier for angular data
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Multistability and perceptual inference
Neural Computation
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
SIAM Journal on Imaging Sciences
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
iSAM2: Incremental smoothing and mapping using the Bayes tree
International Journal of Robotics Research
Heuristic search for non-bottom-up tree structure prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Probabilistic ensembles for improved inference in protein-structure determination
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Incremental signaling pathway modeling by data integration
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Reference classes and relational learning
International Journal of Approximate Reasoning
Intelligent learning system based on SCORM learning objects
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Recursive sum-product algorithm for generalized outer-planar graphs
Information Processing Letters
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Foundations and Trends® in Machine Learning
Structured Learning and Prediction in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Preference-Based CBR: first steps toward a methodological framework
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
WSN clustering using IC-SVD algorithms
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
The Journal of Machine Learning Research
Bounding the probability of error for high precision optical character recognition
The Journal of Machine Learning Research
Information Sciences: an International Journal
Finding consensus Bayesian network structures
Journal of Artificial Intelligence Research
Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Minimum bayes risk decoding with enlarged hypothesis space in system combination
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Inference with multinomial data: why to weaken the prior strength
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Pairwise decomposition for combinatorial optimization in graphical models
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Learning 3D geological structure from drill-rig sensors for automated mining
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
An investigation of local patterns for estimation of distribution genetic programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Answering table queries on the web using column keywords
Proceedings of the VLDB Endowment
Overlapping decomposition for causal graphical modeling
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs
International Journal of Approximate Reasoning
Structured probabilistic inference
International Journal of Approximate Reasoning
Efficient indexing methods for recursive decompositions of Bayesian networks
International Journal of Approximate Reasoning
Crowd IQ: aggregating opinions to boost performance
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
A unifying probabilistic perspective for spectral dimensionality reduction: insights and new models
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Detection of suspicious behavior from a sparse set of multiagent interactions
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning to place new objects in a scene
International Journal of Robotics Research
Information credibility on twitter in emergency situation
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data
Accelerating Bayesian network parameter learning using Hadoop and MapReduce
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory
Fundamenta Informaticae
AITION: a scalable platform for interactive data mining
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
A Hybrid Factored Frontier Algorithm for Dynamic Bayesian Networks with a Biopathways Application
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Local characterizations of causal bayesian networks
GKR'11 Proceedings of the Second international conference on Graph Structures for Knowledge Representation and Reasoning
Exploiting the probability of observation for efficient bayesian network inference
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A Bayesian stochastic search method for discovering Markov boundaries
Knowledge-Based Systems
Minimum-risk training of approximate CRF-based NLP systems
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Towards a bayesian network game framework for evaluating DDoS attacks and defense
Proceedings of the 2012 ACM conference on Computer and communications security
Knowledge discovery interestingness measures based on unexpectedness
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics
Solving limited memory influence diagrams
Journal of Artificial Intelligence Research
Towards hierarchical blackboard mapping on a whiskered robot
Robotics and Autonomous Systems
Learning Bayesian network structure using Markov blanket decomposition
Pattern Recognition Letters
Space, speech, and gesture in human-robot interaction
Proceedings of the 14th ACM international conference on Multimodal interaction
Intent-aware temporal query modeling for keyword suggestion
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Learning to "read between the lines" using Bayesian logic programs
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Spice it up?: mining refinements to online instructions from user generated content
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Improved parsing and POS tagging using inter-sentence consistency constraints
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Towards distributed MCMC inference in probabilistic knowledge bases
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Probabilistic dialogue models with prior domain knowledge
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Learning undirected graphical models from multiple datasets with the generalized non-rejection rate
International Journal of Approximate Reasoning
Using program synthesis for social recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Dense map inference with user-defined priors: from priorlets to scan eigenvariations
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
Object detection using strongly-supervised deformable part models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Generic cuts: an efficient algorithm for optimal inference in higher order MRF-MAP
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Filter-Based mean-field inference for random fields with higher-order terms and product label-spaces
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
What makes a good detector? --- structured priors for learning from few examples
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
The lazy flipper: efficient depth-limited exhaustive search in discrete graphical models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
An experimental comparison of hybrid algorithms for bayesian network structure learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Bayesian network classifiers with reduced precision parameters
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Combining subjective probabilities and data in training markov logic networks
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Recognizing human activities using a layered markov architecture
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Probabilistic optimization of semantic process model matching
BPM'12 Proceedings of the 10th international conference on Business Process Management
Dynamic bayesian networks: a factored model of probabilistic dynamics
ATVA'12 Proceedings of the 10th international conference on Automated Technology for Verification and Analysis
Adaptive probabilistic fission for multimodal systems
Proceedings of the 24th Australian Computer-Human Interaction Conference
Practicality of accelerometer side channels on smartphones
Proceedings of the 28th Annual Computer Security Applications Conference
Synthesis of tiled patterns using factor graphs
ACM Transactions on Graphics (TOG)
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
The principles and practice of probabilistic programming
POPL '13 Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
Deconstructing reinforcement learning in sigma
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Extending mental imagery in sigma
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Artificial Intelligence in Medicine
Generating corpora of activities of daily living and towards measuring the corpora's complexity
CAVE'12 Proceedings of the First international conference on Cognitive Agents for Virtual Environments
International Journal of Approximate Reasoning
Selectivity estimation for hybrid queries over text-rich data graphs
Proceedings of the 16th International Conference on Extending Database Technology
Using intent information to model user behavior in diversified search
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Learning bayesian network using parse trees for extraction of protein-protein interaction
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
RECOMB'13 Proceedings of the 17th international conference on Research in Computational Molecular Biology
Introducing graphical models to analyze genetic programming dynamics
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
Exploring program phases for statistical bug localization
Proceedings of the 11th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering
Towards high-throughput gibbs sampling at scale: a study across storage managers
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Knowledge harvesting in the big-data era
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Artificial Intelligence in Medicine
Identifying significant edges in graphical models of molecular networks
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Reasoning about RFID-tracked moving objects in symbolic indoor spaces
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Inferring social roles and statuses in social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Ad impression forecasting for sponsored search
Proceedings of the 22nd international conference on World Wide Web
Proceedings of the 22nd international conference on World Wide Web
Decision support system for Warfarin therapy management using Bayesian networks
Decision Support Systems
Bayesian inference using data flow analysis
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
A neighborhood relevance model for entity linking
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
A probabilistic ontological framework for the recognition of multilevel human activities
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
The evolution of representation in simple cognitive networks
Neural Computation
Ordering arc-reversal operations when eliminating variables in lazy AR propagation
International Journal of Approximate Reasoning
Estimating building simulation parameters via Bayesian structure learning
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Journal of Computational Physics
Attribit: content creation with semantic attributes
Proceedings of the 26th annual ACM symposium on User interface software and technology
"Wow! you are so beautiful today!"
Proceedings of the 21st ACM international conference on Multimedia
Stochastic variational inference
The Journal of Machine Learning Research
Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
DARWIN: a framework for machine learning and computer vision research and development
The Journal of Machine Learning Research
An efficient probabilistic framework for multi-dimensional classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automated reasoning, fast and slow
CADE'13 Proceedings of the 24th international conference on Automated Deduction
A probablistic model for spatio-temporal signal extraction from social media
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Approximating credal network inferences by linear programming
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On semantics of inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Compiling probabilistic graphical models using sentential decision diagrams
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Computer Vision and Image Understanding
Statistical relational data integration for information extraction
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
UniModeling: a tool for the unified modeling and reasoning in outdoor and indoor spaces
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
Modeling two-player games in the sigma graphical cognitive architecture
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
AskSheet: efficient human computation for decision making with spreadsheets
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Training restricted Boltzmann machines: An introduction
Pattern Recognition
Tabular: a schema-driven probabilistic programming language
Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages
An ensemble of Bayesian networks for multilabel classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Probabilistic reasoning with undefined properties in ontologically-based belief networks
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Preference-based CBR: general ideas and basic principles
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
A Bayesian network model for predicting pregnancy after in vitro fertilization
Computers in Biology and Medicine
GPU code generation for ODE-based applications with phased shared-data access patterns
ACM Transactions on Architecture and Code Optimization (TACO)
A few good predictions: selective node labeling in a social network
Proceedings of the 7th ACM international conference on Web search and data mining
Modelling relational statistics with Bayes Nets
Machine Learning
Learning-based modeling of multimodal behaviors for humanlike robots
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Quantitative reactive modeling and verification
Computer Science - Research and Development
Role of automation in the examination of handwritten items
Pattern Recognition
Learning classification models from multiple experts
Journal of Biomedical Informatics
Fusion of 3D-LIDAR and camera data for scene parsing
Journal of Visual Communication and Image Representation
Contextual object category recognition for RGB-D scene labeling
Robotics and Autonomous Systems
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Training energy-based models for time-series imputation
The Journal of Machine Learning Research
Variational algorithms for marginal MAP
The Journal of Machine Learning Research
Attributed graph models: modeling network structure with correlated attributes
Proceedings of the 23rd international conference on World wide web
Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms
International Journal of Parallel Programming
Hi-index | 0.07 |
Most tasks require a person or an automated system to reasonto reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs. Adaptive Computation and Machine Learning series