Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Probabilistic logic programming
Information and Computation
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
Implementing randomised algorithms in constraint logic programming
JICSLP'98 Proceedings of the 1998 joint international conference and symposium on Logic programming
Maximum Entropy Modeling with Clausal Constraints
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Stochastic attribute-value grammars
Computational Linguistics
Learning probabilities for noisy first-order rules
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Logic programs with uncertainties: a tool for implementing rule-based systems
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
Effective Bayesian inference for stochastic programs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A method for implementing a probabilistic model as a relational database
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning log-linear models on constraint-based grammars for disambiguation
Learning language in logic
Induction of recursive transfer rules
Learning language in logic
Parameter Estimation in Stochastic Logic Programs
Machine Learning
Learning probabilistic relational models
Relational Data Mining
Issues in Learning Language in Logic
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Statistical Abduction with Tabulation
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Efficient EM Learning with Tabulation for Parameterized Logic Programs
CL '00 Proceedings of the First International Conference on Computational Logic
CL '00 Proceedings of the First International Conference on Computational Logic
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
A Graphical Method for Parameter Learning of Symbolic-Statistical Models
DS '99 Proceedings of the Second International Conference on Discovery Science
Ilp: a short look back and a longer look forward
The Journal of Machine Learning Research
ACM SIGKDD Explorations Newsletter
Machine Learning
A methodology for in-network evaluation of integrated logical-statistical models
Proceedings of the 6th ACM conference on Embedded network sensor systems
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Probabilistic reasoning with answer sets
Theory and Practice of Logic Programming
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Learning structure and parameters of stochastic logic programs
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Stochastic logic programs: sampling, inference and applications
UAI'00 Proceedings of the Sixteenth 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
Statistical relational learning: an inductive logic programming perspective
ECML'05 Proceedings of the 16th European conference on Machine Learning
Negation elimination for finite PCFGs
LOPSTR'04 Proceedings of the 14th international conference on Logic Based Program Synthesis and Transformation
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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Recent work on loglinear models in probabilistic constraint logic programming is applied to first-order probabilistic reasoning. Probabilities are defined directly on the proofs of atomic formulae, and by marginalisation on the atomic formulae themselves. We use Stochastic Logic Programs (SLPs) composed of labelled and unlabelled definite clauses to define the proof probabilities. We have a conservative extension of first-order reasoning, so that, for example, there is a one-one mapping between logical and random variables. We show how, in this framework, Inductive Logic Programming (ILP) can be used to induce the features of a loglinear model from data. We also compare the presented framework with other approaches to first-order probabilistic reasoning.