Foundations of logic programming
Foundations of logic programming
Principles of artificial intelligence
Principles of artificial intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An analysis of first-order logics of probability
Artificial Intelligence
Probabilistic logic programming
Information and Computation
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Simply logical: intelligent reasoning by example
Simply logical: intelligent reasoning by example
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Interactive theory revision: an inductive logic programming approach
Interactive theory revision: an inductive logic programming approach
Machine Learning - special issue on inductive logic programming
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
Logical settings for concept-learning
Artificial Intelligence
Probabilistic frame-based systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning in graphical models
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Algorithmic Program DeBugging
Parameter Estimation in Stochastic Logic Programs
Machine Learning
Inductive Logic Programming: From Machine Learning to Software Engineering
Inductive Logic Programming: From Machine Learning to Software Engineering
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Relational Data Mining
From promoter sequence to expression: a probabilistic framework
Proceedings of the sixth annual international conference on Computational biology
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Learning Probabilistic Models of Relational Structure
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Dynamic construction of belief networks
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Stochastic Logic Programs: Sampling, Inference and Applications
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Semantics and Inference for Recursive Probability Models
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Hidden Tree Markov Models for Document Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Tree Induction for Probability-Based Ranking
Machine Learning
Bayesian Logic Programs
Probabilistic reasoning for complex systems
Probabilistic reasoning for complex systems
Learning statistical models from relational data
Learning statistical models from relational data
Learning probabilities for noisy first-order rules
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Approximate inference for first-order probabilistic languages
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
1BC2: a true first-order Bayesian classifier
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
P-CLASSIC: a tractable probablistic description logic
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
SPOOK: a system for probabilistic object-oriented knowledge representation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Object-oriented Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
CLP(BN): constraint logic programming for probabilistic knowledge
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
Prospects and challenges for multi-relational data mining
ACM SIGKDD Explorations Newsletter
Multi-relational data mining: the current frontiers
ACM SIGKDD Explorations Newsletter
Dirichlet enhanced relational learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Reasoning driven blackboard system for image understanding
Proceedings of the 44th annual Southeast regional conference
Data-based revision of probability distributions in qualitative multi-attribute decision models
Intelligent Data Analysis
Integrating Naïve Bayes and FOIL
The Journal of Machine Learning Research
Parameter learning for relational Bayesian networks
Proceedings of the 24th international conference on Machine learning
An Ontology-Based Product Recommender System for B2B Marketplaces
International Journal of Electronic Commerce
Introducing possibilistic logic in ILP for dealing with exceptions
Artificial Intelligence
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
Compressing probabilistic Prolog programs
Machine Learning
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
Learning probabilistic logic models from probabilistic examples
Machine Learning
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
The Complexity of Translating BLPs to RMMs
Inductive Logic Programming
Probabilistic Explanation Based Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
Probabilistic and Logical Beliefs
Languages, Methodologies and Development Tools for Multi-Agent Systems
A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases
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
Logic, Probability and Learning, or an Introduction to Statistical Relational Learning
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Learning directed probabilistic logical models from relational data
AI Communications
A phenotypic genetic algorithm for inductive logic programming
Expert Systems with Applications: An International Journal
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Probabilistic modelling, inference and learning using logical theories
Annals of Mathematics and Artificial Intelligence
Probabilistic Logic Learning - A Tutorial Abstract
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Statistical Relational Learning with Formal Ontologies
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Towards learning stochastic logic programs from proof-banks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
nFOIL: integrating Naïve Bayes and FOIL
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A simple-transition model for relational sequences
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Kernels on prolog ground terms
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Probabilistic inductive logic programming
Probabilistic inductive logic programming
A behavioral comparison of some probabilistic logic models
Probabilistic inductive logic programming
Backtracking search algorithm for satisfiability degree calculation
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
An algorithm for calculating the satisfiability degree
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Social network mining with nonparametric relational models
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
Nonlinear relational markov networks with an application to the game of go
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Declarative programming for agent applications
Autonomous Agents and Multi-Agent Systems
From inductive logic programming to relational data mining
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Toward robust real-world inference: a new perspective on explanation-based learning
ECML'06 Proceedings of the 17th European conference on Machine Learning
An architecture for rational agents
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
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
Logical bayesian networks and their relation to other probabilistic logical models
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Deriving a stationary dynamic bayesian network from a logic program with recursive loops
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Annotated Probabilistic Temporal Logic: Approximate Fixpoint Implementation
ACM Transactions on Computational Logic (TOCL)
Extracting qualitative knowledge from medical guidelines for clinical decision-support systems
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Data mining in inductive databases
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
International Journal of Agent Technologies and Systems
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The past few years have witnessed an significant interest in probabilistic logic learning, i.e. in research lying at the intersection of probabilistic reasoning, logical representations, and machine learning. A rich variety of different formalisms and learning techniques have been developed. This paper provides an introductory survey and overview of the state-of-the-art in probabilistic logic learning through the identification of a number of important probabilistic, logical and learning concepts.