Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
On the hardness of approximate reasoning
Artificial Intelligence
Machine Learning - special issue on inductive logic programming
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
Intelligent stock trading system by turning point confirming and probabilistic reasoning
Expert Systems with Applications: An International Journal
Optimizing mpf queries: decision support and probabilistic inference
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
A generalized model for financial time series representation and prediction
Applied Intelligence
Discriminative structure and parameter learning for Markov logic networks
Proceedings of the 25th international conference on Machine learning
Efficient Weight Learning for Markov Logic Networks
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Discriminative Structure Learning of Markov Logic Networks
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
A Generalized Joint Inference Approach for Citation Matching
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
Incorporating site-level knowledge to extract structured data from web forums
Proceedings of the 18th international conference on World wide web
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Unifying logical and statistical AI
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Sound and efficient inference with probabilistic and deterministic dependencies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Memory-efficient inference in relational domains
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Efficient MAP Inference for Statistical Relational Models through Hybrid Metaheuristics
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Max-Margin Weight Learning for Markov Logic Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Joint inference in information extraction
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Lifted first-order belief propagation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
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
High Performing Algorithms for MAP and Conditional Inference in Markov Logic
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Probabilistic inductive logic programming
Semantic fusion of laser and vision in pedestrian detection
Pattern Recognition
Logic-based representation, reasoning and machine learning for event recognition
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
BioSnowball: automated population of Wikis
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Function-based question classification for general QA
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Chinese named entity recognition based on hierarchical hybrid model
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Generative Structure Learning for Markov Logic Networks
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
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
Boosting learning and inference in Markov logic through metaheuristics
Applied Intelligence
Pruning search space for weighted first order horn clause satisfiability
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Constraint propagation for efficient inference in Markov logic
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
Probabilistic rule learning in nonmonotonic domains
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Fisher kernels for relational data
ECML'06 Proceedings of the 17th European conference on Machine Learning
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
Extracting multiple news attributes based on visual features
Journal of Intelligent Information Systems
Probabilistic databases with MarkoViews
Proceedings of the VLDB Endowment
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
A discriminative hierarchical model for fast coreference at large scale
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Expectation maximization over binary decision diagrams for probabilistic logic programs
Intelligent Data Analysis
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We define a generalized strategy eliminability criterion for bimatrix games that considers whether a given strategy is eliminable relative to given dominator & eliminee subsets of the players' strategies. We show that this definition spans a spectrum ...