Artificial Intelligence
Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
POPL '87 Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
An analysis of first-order logics of probability
Artificial Intelligence
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
The Utility of Knowledge in Inductive Learning
Machine Learning
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Theory refinement combining analytical and empirical methods
Artificial Intelligence
Knowledge-based artificial neural networks
Artificial Intelligence
A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
On the hardness of approximate reasoning
Artificial Intelligence
From statistical knowledge bases to degrees of belief
Artificial Intelligence
Machine Learning - special issue on inductive logic programming
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
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
On the complexity of inference about probabilistic relational models
Artificial Intelligence
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Maximum Entropy Modeling with Clausal Constraints
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Mining complex models from arbitrarily large databases in constant time
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Maximum-Entropy Probabilistic Logics
Maximum-Entropy Probabilistic Logics
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
Multi-relational data mining: the current frontiers
ACM SIGKDD Explorations Newsletter
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
First-order probabilistic inference
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Dynamic probabilistic relational models
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Approximate inference for first-order probabilistic languages
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Loglinear models for first-order probabilistic reasoning
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth 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
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Sequential inference with reliable observations: learning to construct force-dynamic models
Artificial Intelligence
Learning action models from plan examples using weighted MAX-SAT
Artificial Intelligence
Relational Dependency Networks
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Parameter learning for relational Bayesian networks
Proceedings of the 24th international conference on Machine learning
Statistical predicate invention
Proceedings of the 24th international conference on Machine learning
Bottom-up learning of Markov logic network structure
Proceedings of the 24th international conference on Machine learning
Declarative programming for artificial intelligence applications
ICFP '07 Proceedings of the 12th ACM SIGPLAN international conference on Functional programming
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Query evaluation with soft-key constraints
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
Discriminative structure and parameter learning for Markov logic networks
Proceedings of the 25th international conference on Machine learning
Probabilistic logic with independence
International Journal of Approximate Reasoning
Information extraction from Wikipedia: moving down the long tail
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to assign degrees of belief in relational domains
Machine Learning
Learning probabilistic logic models from probabilistic examples
Machine Learning
Structured machine learning: the next ten years
Machine Learning
First-Order Probabilistic Languages: Into the Unknown
Inductive Logic Programming
Extending Markov Logic to Model Probability Distributions in Relational Domains
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
ECML '07 Proceedings of the 18th European 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
A Survey of Formal Verification for Business Process Modeling
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Probabilistic and Logical Beliefs
Languages, Methodologies and Development Tools for Multi-Agent Systems
Discriminative Structure Learning of Markov Logic Networks
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
A Comparison between Two Statistical Relational Models
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Extracting Semantic Networks from Text Via Relational Clustering
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
A Simple Model for Sequences of Relational State Descriptions
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Loopy Propagation in a Probabilistic Description Logic
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Coreference resolution using expressive logic models
Proceedings of the 17th ACM conference on Information and knowledge management
A methodology for in-network evaluation of integrated logical-statistical models
Proceedings of the 6th ACM conference on Embedded network sensor systems
Transfer Learning by Mapping and Revising Relational Knowledge
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Reinforcement Learning with Markov Logic Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
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
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Exploiting Hyponymy in Extracting Relations and Enhancing Ontologies
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Transferring Knowledge from Another Domain for Learning Action Models
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
The Life of a Logic Programming System
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Using Wikipedia to bootstrap open information extraction
ACM SIGMOD Record
Probabilistic reasoning with answer sets
Theory and Practice of Logic Programming
Checking the quality of clinical guidelines using automated reasoning tools
Theory and Practice of Logic Programming
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
SOFIE: a self-organizing framework for information extraction
Proceedings of the 18th international conference on World wide web
A link mining algorithm for earnings forecast and trading
Data Mining and Knowledge Discovery
Transfer Learning Action Models by Measuring the Similarity of Different Domains
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Learning Markov logic network structure via hypergraph lifting
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Polyhedral outer approximations with application to natural language parsing
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on network structure and biological function: Reconstruction, modelling, and statistical approaches
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
A Cognitive Substrate for Natural Language Understanding
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Structure Learning of Markov Logic Networks through Iterated Local Search
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
WikiTaxonomy: A Large Scale Knowledge Resource
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning directed probabilistic logical models: ordering-search versus structure-search
Annals of Mathematics and Artificial Intelligence
Probabilistic modelling, inference and learning using logical theories
Annals of Mathematics and Artificial Intelligence
Mixed deterministic and probabilistic networks
Annals of Mathematics and Artificial Intelligence
A Markov logic approach to bio-molecular event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Multilingual semantic role labelling with Markov logic
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Turing's dream and the knowledge challenge
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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
Sensor-based understanding of daily life via large-scale use of common sense
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Language ID in the context of harvesting language data off the web
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Identifying graphs from noisy and incomplete data
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
Scaling textual inference to the web
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Joint unsupervised coreference resolution with Markov logic
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Chinese named entity recognition with cascaded hybrid model
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Efficient MAP Inference for Statistical Relational Models through Hybrid Metaheuristics
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Statistical Relational Learning with Formal Ontologies
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Integrating Logical Reasoning and Probabilistic Chain Graphs
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
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
Mapping and revising Markov logic networks for transfer learning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Joint inference in information extraction
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
An architecture for adaptive algorithmic hybrids
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Integrating multiple learning components through Markov logic
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Lifted probabilistic inference with counting formulas
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
A general method for reducing the complexity of relational inference and its application to MCMC
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Lifted first-order belief propagation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Learning symbolic models of stochastic domains
Journal of Artificial Intelligence Research
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Relational knowledge with predictive state representations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ProbLog: a probabilistic prolog and its application in link discovery
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Change of representation for statistical relational learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Reflect and correct: A misclassification prediction approach to active inference
ACM Transactions on Knowledge Discovery from Data (TKDD)
LaTeCH-SHELT&R '09 Proceedings of the EACL 2009 Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education
PrDB: managing and exploiting rich correlations in probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Sequential inference with reliable observations: Learning to construct force-dynamic models
Artificial Intelligence
An integrated discriminative probabilistic approach to information extraction
Proceedings of the 18th ACM conference on Information and knowledge management
Activity recognition: linking low-level sensors to high-level intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Large margin Boltzmann machines
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Transfer learning from minimal target data by mapping across relational domains
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Hybrid approach to user intention modeling for dialog simulation
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Realistic grammar error simulation using Markov Logic
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Concise integer linear programming formulations for dependency parsing
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Jointly identifying temporal relations with Markov Logic
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Belief Logic Programming with Cyclic Dependencies
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
Approaches to Uncertain or Imprecise Rules - A Survey
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Using Conditional Random Fields for Decision-Theoretic Planning
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
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
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Reading to learn: constructing features from semantic abstracts
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Quantifier scope disambiguation using extracted pragmatic knowledge: preliminary results
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Equipping robot control programs with first-order probabilistic reasoning capabilities
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Scalable statistical learning: a modular Bayesian/Markov network approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Opinion graphs for polarity and discourse classification
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Not a simple yes or no: uncertainty in indirect answers
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Proceedings of the Workshop on Use of Context in Vision Processing
Probabilistic categorization of kitchen objects in table settings with a composite sensor
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Cautious Collective Classification
The Journal of Machine Learning Research
Extracting ontology concept hierarchies from text using Markov logic
Proceedings of the 2010 ACM Symposium on Applied Computing
Logic as energy: a SAT-based approach
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Recognizing activities with multiple cues
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Pronoun resolution with Markov logic networks
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Learning to assign degrees of belief in relational domains
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Induction of optimal semantic semi-distances for clausal knowledge bases
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Combining clauses with various precisions and recalls to produce accurate probabilistic estimates
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
A relational hierarchical model for decision-theoretic assistance
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Using Bayesian networks to direct stochastic search in inductive logic programming
ILP'07 Proceedings of the 17th international conference on 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
The independent choice logic and beyond
Probabilistic inductive logic programming
Model-theoretic expressivity analysis
Probabilistic inductive logic programming
First-order mixed integer linear programming
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Increasing representational power and scaling reasoning in probabilistic databases
Proceedings of the 13th International Conference on Database Theory
Understanding cardinality estimation using entropy maximization
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A probabilistic approach to distributed system management
Proceedings of the 7th international conference on Autonomic computing
Multiple relationship based deduplication
Proceedings of the Fourth SIGMOD PhD Workshop on Innovative Database Research
An architecture for adaptive algorithmic hybrids
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Semantic fusion of laser and vision in pedestrian detection
Pattern Recognition
Investigating fuzzy DLs-based reasoning in semantic image analysis
Multimedia Tools and Applications
Logic-based representation, reasoning and machine learning for event recognition
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Towards performing everyday manipulation activities
Robotics and Autonomous Systems
Relaxed marginal inference and its application to dependency parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
The influence of discourse on syntax a psycholinguistic model of sentence processing
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Towards relational POMDPs for adaptive dialogue management
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Find your advisor: robust knowledge gathering from the web
Procceedings of the 13th International Workshop on the Web and Databases
TRIPS and TRIOS system for TempEval-2: Extracting temporal information from text
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
NCSU: Modeling temporal relations with Markov logic and lexical ontology
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
ProbLog Technology for Inference in a Probabilistic First Order Logic
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Relational network-service clustering analysis with set evidences
Proceedings of the 3rd ACM workshop on Artificial intelligence and security
Learning first-order Horn clauses from web text
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Function-based question classification for general QA
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
ACM Transactions on Information Systems (TOIS)
Hybrid user intention modeling to diversify dialog simulations
Computer Speech and Language
MMG: a learning game platform for understanding and predicting human recall memory
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Soft evidential update via Markov chain Monte Carlo inference
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Identifying graphs from noisy and incomplete data
ACM SIGKDD Explorations Newsletter
Duplicate identification in deep web data integration
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Chinese named entity recognition based on hierarchical hybrid model
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Probabilistic declarative process mining
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Knowledge based activity recognition with dynamic bayesian network
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Bayesian knowledge corroboration with logical rules and user feedback
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
What is happening now? Detection of activities of daily living from simple visual features
Personal and Ubiquitous Computing
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Speeding up inference in statistical relational learning by clustering similar query literals
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Policy transfer via Markov logic networks
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Exploiting content redundancy for web information extraction
Proceedings of the VLDB Endowment
Scalable probabilistic databases with factor graphs and MCMC
Proceedings of the VLDB Endowment
Discovery of abstract concepts by a robot
DS'10 Proceedings of the 13th international conference on Discovery science
Extracting service aspects from web reviews
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Exploiting statistical and relational information on the web and in social media
Proceedings of the fourth ACM international conference on Web search and data mining
Scalable knowledge harvesting with high precision and high recall
Proceedings of the fourth ACM international conference on Web search and data mining
A probabilistic approach for learning folksonomies from structured data
Proceedings of the fourth ACM international conference on Web search and data mining
Discovery of logic relations for text mining adaptation using unlabeled data
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Generative Structure Learning for Markov Logic Networks
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Targeted risk communication for computer security
Proceedings of the 16th international conference on Intelligent user interfaces
Probabilistic ontology trees for belief tracking in dialog systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Exploring the effectiveness of lexical ontologies for modeling temporal relations with Markov logic
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Challenges from information extraction to information fusion
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Model failure and context switching using logic-based stochastic
Journal of Computer Science and Technology
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
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Web information extraction using Markov logic networks
Proceedings of the 20th international conference companion on World wide web
Boosting learning and inference in Markov logic through metaheuristics
Applied Intelligence
Stochastic Representation and Recognition of High-Level Group Activities
International Journal of Computer Vision
Relational preference rules for control
Artificial Intelligence
Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS
Proceedings of the VLDB Endowment
Grammatical error simulation for computer-assisted language learning
Knowledge-Based Systems
Learning statistical models from relational data
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Taxonomy induction based on a collaboratively built knowledge repository
Artificial Intelligence
Binding and cross-modal learning in markov logic networks
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Autonomous discovery of abstract concepts by a robot
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Integrating knowledge capture and supervised learning through a human-computer interface
Proceedings of the sixth international conference on Knowledge capture
PRONTO: support for real-time decision making
Proceedings of the 5th ACM international conference on Distributed event-based system
A Bayesian model for unsupervised semantic parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Implementing weighted abduction in Markov logic
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Integrating logical representations with probabilistic information using Markov logic
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
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
Collective graph identification
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Web information extraction using markov logic networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
Pervasive sensing to model political opinions in face-to-face networks
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Learning from noisy data using a non-covering ILP algorithm
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Markov logic networks for document layout correction
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Relational probabilistic conditional reasoning at maximum entropy
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Semantic hierarchies for image annotation: A survey
Pattern Recognition
Stochastic differential dynamic logic for stochastic hybrid programs
CADE'11 Proceedings of the 23rd international conference on Automated deduction
Database foundations for scalable RDF processing
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Application and evaluation of inductive reasoning methods for the semantic web and software analysis
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Probabilistic-logical web data integration
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Learning the parameters of probabilistic logic programs from interpretations
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Online structure learning for Markov logic networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Abductive plan recognition by extending Bayesian logic programs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Probabilistic logic reasoning about traffic scenes
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Conjunctive query answering in probabilistic datalog+/- ontologies
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
ELOG: a probabilistic reasoner for OWL EL
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Probabilistic rule learning in nonmonotonic domains
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
A partition-based first-order probabilistic logic to represent interactive beliefs
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Answering threshold queries in probabilistic datalog+/-ontologies
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Coherent top-k ontology alignment for OWL EL
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Efficient sequential clamping for lifted message passing
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Label-dependent node classification in the network
Neurocomputing
Interactive reasoning in uncertain RDF knowledge bases
Proceedings of the 20th ACM international conference on Information and knowledge management
Pervasive and Mobile Computing
Journal of Biomedical Informatics
TildeCRF: conditional random fields for logical sequences
ECML'06 Proceedings of the 17th European conference on Machine Learning
COLT'06 Proceedings of the 19th annual conference on Learning Theory
A type theory for probability density functions
POPL '12 Proceedings of the 39th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Understanding cardinality estimation using entropy maximization
ACM Transactions on Database Systems (TODS)
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
Robust collective classification with contextual dependency network models
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Coupled temporal scoping of relational facts
Proceedings of the fifth ACM international conference on Web search and data mining
On the implementation of the CLP(BN) language
PADL'10 Proceedings of the 12th international conference on Practical Aspects of Declarative Languages
Learning models of relational stochastic processes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Theory and Practice of Logic Programming - Prolog Systems
Dual decomposition with many overlapping components
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Random walk inference and learning in a large scale knowledge base
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Relation acquisition using word classes and partial patterns
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Learning logic rules for scene interpretation based on markov logic networks
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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Reference classes and relational learning
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Combining user modeling and machine learning to predict users' multimodal integration patterns
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
Using constraint optimization for conflict resolution and detail control in activity recognition
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Contextual semantic processing for a spanish dialogue system using markov logic
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC
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Dyna: extending datalog for modern AI
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Factorizing YAGO: scalable machine learning for linked data
Proceedings of the 21st international conference on World Wide Web
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PhD '12 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge
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Generalising the interaction rules in probabilistic logic
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Multi-evidence lifted message passing, with application to PageRank and the Kalman filter
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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
Collective semantic role labeling for tweets with clustering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Lifted relational Kalman filtering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Enhancing search results with semantic annotation using augmented browsing
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A flat histogram method for computing the density of states of combinatorial problems
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Bayesian abductive logic programs: a probabilistic logic for abductive reasoning
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Event-driven adaptive collaboration using semantically-enriched patterns
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Cognitive Systems Research
Reactive goal management in a cognitive architecture
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3D Scene interpretation by combining probability theory and logic: The tower of knowledge
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Impugning Randomness, Convincingly
Studia Logica
Event processing under uncertainty
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DAGger: clustering correlated uncertain data (to predict asset failure in energy networks)
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SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Probabilistic databases with MarkoViews
Proceedings of the VLDB Endowment
Variational bayes inference for logic-based probabilistic models on BDDs
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Requirements-Driven root cause analysis using markov logic networks
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Detecting humans under partial occlusion using Markov logic networks
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ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
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
Sentence compression with semantic role constraints
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Reading the web with learned syntactic-semantic inference rules
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Monte Carlo MCMC: efficient inference by approximate sampling
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Joint learning for coreference resolution with Markov logic
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Towards distributed MCMC inference in probabilistic knowledge bases
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Monte Carlo MCMC: efficient inference by sampling factors
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Probabilistic dialogue models with prior domain knowledge
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A unified probabilistic approach to referring expressions
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Markov logic networks for situated incremental natural language understanding
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
The dichotomy of probabilistic inference for unions of conjunctive queries
Journal of the ACM (JACM)
Discovering logical knowledge for deep question answering
Proceedings of the 21st ACM international conference on Information and knowledge management
You should read this! let me explain you why: explaining news recommendations to users
Proceedings of the 21st ACM international conference on Information and knowledge management
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Efficient graph kernels by randomization
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Lifted online training of relational models with stochastic gradient methods
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Scalable relation prediction exploiting both intrarelational correlation and contextual information
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Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
Probabilistic optimization of semantic process model matching
BPM'12 Proceedings of the 10th international conference on Business Process Management
Consistent answers in probabilistic datalog+/--- ontologies
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Communications of the ACM
The principles and practice of probabilistic programming
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Enhanced spatiotemporal relational probability trees and forests
Data Mining and Knowledge Discovery
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Inference in probabilistic logic programs with continuous random variables
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Theory and Practice of Logic Programming
Collective inference for network data with copula latent markov networks
Proceedings of the sixth ACM international conference on Web search and data mining
A companion technology for cognitive technical systems
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Fuzzy-Probabilistic logic for common sense
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
International Journal of Agent Technologies and Systems
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Robust abandoned object detection integrating wide area visual surveillance and social context
Pattern Recognition Letters
Discriminative learning of first-order weighted abduction from partial discourse explanations
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
AMIE: association rule mining under incomplete evidence in ontological knowledge bases
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A probabilistic ontological framework for the recognition of multilevel human activities
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KnowRob: A knowledge processing infrastructure for cognition-enabled robots
International Journal of Robotics Research
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Programming with personalized pagerank: a locally groundable first-order probabilistic logic
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A Markov logic framework for recognizing complex events from multimodal data
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CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
MCMC estimation of conditional probabilities in probabilistic programming languages
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Solutions for hard and soft constraints using optimized probabilistic satisfiability
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
Robot reasoning using first order bayesian networks
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
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CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
Statistical relational data integration for information extraction
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Situated incremental natural language understanding using Markov Logic Networks
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Type Extension Trees for feature construction and learning in relational domains
Artificial Intelligence
Reasoning about continuous uncertainty in the situation calculus
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Implicit learning of common sense for reasoning
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From machine learning to machine reasoning
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Interactive relational reinforcement learning of concept semantics
Machine Learning
Using compositional semantics and discourse consistency to improve Chinese trigger identification
Information Processing and Management: an International Journal
Single network relational transductive learning
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Weighted graph-based methods for identifying the most influential actors in trust social networks
International Journal of Networking and Virtual Organisations
Expectation maximization over binary decision diagrams for probabilistic logic programs
Intelligent Data Analysis
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We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects in the domain, it specifies a ground Markov network containing one feature for each possible grounding of a first-order formula in the KB, with the corresponding weight. Inference in MLNs is performed by MCMC over the minimal subset of the ground network required for answering the query. Weights are efficiently learned from relational databases by iteratively optimizing a pseudo-likelihood measure. Optionally, additional clauses are learned using inductive logic programming techniques. Experiments with a real-world database and knowledge base in a university domain illustrate the promise of this approach.