Efficient learning of context-free grammars from positive structural examples
Information and Computation
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
Relational instance-based learning with lists and terms
Machine Learning - Special issue on inducive logic programming
Machine Learning - Special issue on inducive logic programming
Machine Learning
Relational Data Mining
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Stochastic Inference of Regular Tree Languages
Machine Learning
Hidden Markov Models for Text Categorization in Multi-Page Documents
Journal of Intelligent Information Systems
A Generalized Hidden Markov Model for the Recognition of Human Genes in DNA
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Predicting UNIX Command Lines: Adjusting to User Patterns
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Term Comparisons in First-Order Similarity Measures
ILP '98 Proceedings of the 8th 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
ACM SIGKDD Explorations Newsletter
Stochastic attribute-value grammars
Computational Linguistics
Relating probabilistic grammars and automata
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Dynamic probabilistic relational models
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A context-aware personal desktop assistant
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions
Inductive Logic Programming
Multi-class Prediction Using Stochastic Logic Programs
Inductive Logic Programming
Relational Sequence Alignments and Logos
Inductive Logic Programming
Logical Hierarchical Hidden Markov Models for Modeling User Activities
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Relational Transformation-based Tagging for Activity Recognition
Fundamenta Informaticae - Progress 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
Relational Sequence Clustering for Aggregating Similar Agents
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Learning symbolic models of stochastic domains
Journal of Artificial Intelligence Research
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Language structure using fuzzy similarity
IEEE Transactions on Fuzzy Systems
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
CLP(BN): constraint logic programming for probabilistic knowledge
Probabilistic inductive logic programming
Protein fold discovery using stochastic logic programs
Probabilistic inductive logic programming
Probabilistic logic learning from haplotype data
Probabilistic inductive logic programming
Logic-based representation, reasoning and machine learning for event recognition
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Optimizing probabilistic models for relational sequence learning
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
TildeCRF: conditional random fields for logical sequences
ECML'06 Proceedings of the 17th European conference on Machine Learning
Lifted relational Kalman filtering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Relational Transformation-based Tagging for Activity Recognition
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
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Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and parameter estimation. The resulting representation and algorithms are experimentally evaluated on problems from the domain of bioinformatics.