Document ontology based personalized filtering system (poster session)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Managing periodically updated data in relational databases: a stochastic modeling approach
Journal of the ACM (JACM)
Parameter Estimation in Stochastic Logic Programs
Machine Learning
From promoter sequence to expression: a probabilistic framework
Proceedings of the sixth annual international conference on Computational biology
Learning probabilistic relational models
Relational Data Mining
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
Annals of Mathematics and Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
Learning with mixtures of trees
The Journal of Machine Learning Research
Learning probabilistic models of link structure
The Journal of Machine Learning Research
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
Learning relational probability trees
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGKDD Explorations Newsletter
Prospects and challenges for multi-relational data mining
ACM SIGKDD Explorations Newsletter
Hierarchical model-based clustering of relational data with aggregates
Proceedings of the 2004 ACM symposium on Applied computing
Maintaining Implicated Statistics in Constrained Environments
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Relational confidence bounds are easy with the bootstrap
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Model-based overlapping clustering
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
An efficient multi-relational Naïve Bayesian classifier based on semantic relationship graph
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Automated population of causal models for improved software risk assessment
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Dirichlet enhanced relational learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
PRL: A probabilistic relational language
Machine Learning
Machine Learning
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 structure indices for efficient approximation of network properties
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining relational data through correlation-based multiple view validation
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Quantitative pharmacophore models with inductive logic programming
Machine Learning
Predicting people's bidding behavior in negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Bellwether analysis: predicting global aggregates from local regions
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2006 Courses
Sequential inference with reliable observations: learning to construct force-dynamic models
Artificial Intelligence
Optimizing mpf queries: decision support and probabilistic inference
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Bayesian Network Learning with Parameter Constraints
The Journal of Machine Learning Research
Relational Dependency Networks
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Parameter learning for relational Bayesian networks
Proceedings of the 24th international conference on Machine learning
Discover knowledge from distribution maps using Bayesian networks
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
ACM Transactions on Computational Logic (TOCL)
Dynamically constructed Bayes nets for multi-domain sketch understanding
ACM SIGGRAPH 2007 courses
Report on the probabilistic language scheme
Proceedings of the 2007 symposium on Dynamic languages
Case-factor diagrams for structured probabilistic modeling
Journal of Computer and System Sciences
Probabilistic graphical models and their role in databases
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Towards using multiple cues for robust object recognition
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Improving inductive logic programming by using simulated annealing
Information Sciences: an International Journal
Exploiting time-varying relationships in statistical relational models
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Learning to assign degrees of belief in relational domains
Machine Learning
Structured machine learning: the next ten years
Machine Learning
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
Boosted Bayesian network classifiers
Machine Learning
Extending Markov Logic to Model Probability Distributions in Relational Domains
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Generating Social Network Features for Link-Based Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Survey of Formal Verification for Business Process Modeling
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
A Comparison between Two Statistical Relational Models
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Parameter Learning in Probabilistic Databases: A Least Squares Approach
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Force deployment analysis with generalized grammar
Information Fusion
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Proceedings of the VLDB Endowment
Exploiting shared correlations in probabilistic databases
Proceedings of the VLDB Endowment
Querying web-based applications under models of uncertainty
Proceedings of the VLDB Endowment
A methodology for in-network evaluation of integrated logical-statistical models
Proceedings of the 6th ACM conference on Embedded network sensor systems
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
TOP-K projection queries for probabilistic business processes
Proceedings of the 12th International Conference on Database Theory
Probabilistic databases: diamonds in the dirt
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
MetaFac: community discovery via relational hypergraph factorization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling and Inference with Relational Dynamic Bayesian Networks
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Proceedings of the 2005 conference on Multi-Relational Data Mining
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Situation Assessment for Sensor-Based Recovery Planning
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Structure Learning of Markov Logic Networks through Iterated Local Search
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning directed probabilistic logical models: ordering-search versus structure-search
Annals of Mathematics and Artificial Intelligence
The KOJAK group finder: connecting the dots via integrated knowledge-based and statistical reasoning
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Unifying logical and statistical AI
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Learning partially observable action schemas
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A relational representation for procedural task knowledge
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Improving learning in networked data by combining explicit and mined links
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Markov blanket feature selection for support vector machines
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
A theoretical framework for learning Bayesian networks with parameter inequality constraints
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Change of representation for statistical relational learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dynamic probabilistic relational models
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Automatically personalizing user interfaces
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Practical Markov logic containing first-order quantifiers with application to identity uncertainty
CHSLP '06 Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
View learning for statistical relational learning: with an application to mammography
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Inferring useful heuristics from the dynamics of iterative relational classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Lifted first-order probabilistic inference
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
BLOG: probabilistic models with unknown objects
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Dynamically constructed Bayes nets for multi-domain sketch understanding
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Classifying Multiple Imbalanced Attributes in Relational Data
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning
A probabilistic relational approach for web document clustering
Information Processing and Management: an International Journal
Learning with feature description logics
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Autocorrelation and linkage cause bias in evaluation of relational learners
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Learning structure and parameters of stochastic logic programs
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Revision of first-order Bayesian classifiers
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Fixing weakly annotated web data using relational models
ICWE'07 Proceedings of the 7th international conference on Web engineering
Local soft belief updating for relational classification
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Empirical comparison of "hard" and "soft" label propagation for relational classification
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Combining clauses with various precisions and recalls to produce accurate probabilistic estimates
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Probabilistic inductive logic programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
A behavioral comparison of some probabilistic logic models
Probabilistic inductive logic programming
Model-theoretic expressivity analysis
Probabilistic inductive logic programming
Architecture analysis of enterprise systems modifiability - Models, analysis, and validation
Journal of Systems and Software
Multi-modal multi-correlation person-centric news retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Web page classification: a probabilistic model with relational uncertainty
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Bayesian knowledge corroboration with logical rules and user feedback
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Label-dependent feature extraction in social networks for node classification
SocInfo'10 Proceedings of the Second international conference on Social informatics
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas
Expert Systems with Applications: An International Journal
Discriminative Markov logic network structure learning based on propositionalization and X2-test
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Automatic ontology evolution in open and dynamic computing environments
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
A method of label-dependent feature extraction in social networks
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS
Proceedings of the VLDB Endowment
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Label-dependent node classification in the network
Neurocomputing
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Statistical relational learning: an inductive logic programming perspective
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
PFORTE: revising probabilistic FOL theories
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Statistical relational learning: an inductive logic programming perspective
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning stochastic logical automaton
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Negation elimination for finite PCFGs
LOPSTR'04 Proceedings of the 14th international conference on Logic Based Program Synthesis and Transformation
Logical bayesian networks and their relation to other probabilistic logical models
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Probabilistic first-order theory revision from examples
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
Reference classes and relational learning
International Journal of Approximate Reasoning
Using enterprise architecture and technology adoption models to predict application usage
Journal of Systems and Software
Generative structure learning for Markov logic networks based on graph of predicates
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Lifted relational Kalman filtering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
On the semantics of top-k ranking for objects with uncertain data
Computers & Mathematics with Applications
Structured probabilistic inference
International Journal of Approximate Reasoning
Learning directed relational models with recursive dependencies
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
Reading the web with learned syntactic-semantic inference rules
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Enhanced spatiotemporal relational probability trees and forests
Data Mining and Knowledge Discovery
Inference in probabilistic logic programs with continuous random variables
Theory and Practice of Logic Programming
Model checking with probabilistic tabled logic programming
Theory and Practice of Logic Programming
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Extending and formalizing bayesian networks by strong relevant logic
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Solutions for hard and soft constraints using optimized probabilistic satisfiability
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
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