Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Probabilistic logic programming
Information and Computation
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
New Generation Computing
Statistical Language Learning
A Language for Construction of Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Abduction with Tabulation
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Parameterized Logic Programs where Computing Meets Learning
FLOPS '01 Proceedings of the 5th International Symposium on Functional and Logic Programming
Efficient EM Learning with Tabulation for Parameterized Logic Programs
CL '00 Proceedings of the First International Conference on Computational Logic
EM Learning for Symbolic-Statistical Models in Statistical Abduction
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Abstracting a Human's Decision Process by PRISM
DS '98 Proceedings of the First International Conference on Discovery Science
A Graphical Method for Parameter Learning of Symbolic-Statistical Models
DS '99 Proceedings of the Second International Conference on Discovery Science
ACM SIGKDD Explorations Newsletter
Naive Bayesian Classification of Structured Data
Machine Learning
PRL: A probabilistic relational language
Machine Learning
Machine Learning
Feature forest models for probabilistic hpsg parsing
Computational Linguistics
Structured machine learning: the next ten years
Machine Learning
First-Order Probabilistic Languages: Into the Unknown
Inductive Logic Programming
Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
A methodology for in-network evaluation of integrated logical-statistical models
Proceedings of the 6th ACM conference on Embedded network sensor systems
Implementing Probabilistic Abductive Logic Programming with Constraint Handling Rules
Constraint Handling Rules
Probabilistic modelling, inference and learning using logical theories
Annals of Mathematics and Artificial Intelligence
Variational Bayes via propositionalized probability computation in PRISM
Annals of Mathematics and Artificial Intelligence
WoLLIC '09 Proceedings of the 16th International Workshop on Logic, Language, Information and Computation
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Towards learning stochastic logic programs from proof-banks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Cp-logic: A language of causal probabilistic events and its relation to logic programming
Theory and Practice of Logic Programming
Approximate inference for first-order probabilistic languages
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Generative modeling with failure in PRISM
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A hybrid symbolic-statistical approach to modeling metabolic networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Inference with constrained hidden markov models in prism
Theory and Practice of Logic Programming
Logic–based decision support for strategic environmental assessment
Theory and Practice of Logic Programming
ProbLog Technology for Inference in a Probabilistic First Order Logic
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Fundamenta Informaticae - RCRA 2008 Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
Model failure and context switching using logic-based stochastic
Journal of Computer Science and Technology
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Logic, probability and computation: foundations and issues of statistical relational AI
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
BET: an inductive logic programming workbench
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Probabilistic-logical modeling of music
PADL'06 Proceedings of the 8th international conference on Practical Aspects of Declarative Languages
A type theory for probability density functions
POPL '12 Proceedings of the 39th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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
Combining bayesian networks with higher-order data representations
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
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
Towards a more practical hybrid probabilistic logic programming framework
PADL'05 Proceedings of the 7th international conference on Practical Aspects of Declarative Languages
Reference classes and relational learning
International Journal of Approximate Reasoning
Efficient tabling of structured data using indexing and program transformation
PADL'12 Proceedings of the 14th international conference on Practical Aspects of Declarative Languages
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
A general MCMC method for Bayesian inference in logic-based probabilistic modeling
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Structured probabilistic inference
International Journal of Approximate Reasoning
Machine learning a probabilistic network of ecological interactions
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
The principles and practice of probabilistic programming
POPL '13 Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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
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
MCMC estimation of conditional probabilities in probabilistic programming languages
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Inference for a new probabilistic constraint logic
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a ...