Search results for "Statistical relational learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Marenglen Biba, Stefano Ferilli, Floriana Esposito	Towards Multistrategic Statistical Relational Learning.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
2	Luc De Raedt	Probabilistic Logic Learning - A Tutorial Abstract.	ICLP	2009	DBLP DOI BibTeX RDF	probabilistic logic learning, logic and learning, logic programming, inductive logic programming, statistical relational learning
2	Christoph Kiefer, Abraham Bernstein, André Locher	Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods.	ESWC	2008	DBLP DOI BibTeX RDF
2	Luc De Raedt	Logic, Probability and Learning, or an Introduction to Statistical Relational Learning.	SBIA	2008	DBLP DOI BibTeX RDF
2	Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos	Using ghost edges for classification in sparsely labeled networks.	KDD	2008	DBLP DOI BibTeX RDF	semi-supervised learning, random walk, statistical relational learning, collective classification
2	James A. Hendler, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth, Luis von Ahn	AI's 10 to Watch.	IEEE Intelligent Systems	2008	DBLP DOI BibTeX RDF	Darpa Urban Challenge, ontologies, machine learning, information retrieval, Semantic Web, computer vision, social networks, artificial intelligence, robots, natural language processing, NLP, intelligent systems, intelligent transportation systems, computational linguistics, human computation, computational photography, Captchas, statistical relational learning, statistical relational learning, multimodal perception
2	Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli	Structured machine learning: the next ten years.	Machine Learning	2008	DBLP DOI BibTeX RDF	Structured machine learning, Inductive logic programming, Relational learning, Statistical relational learning
2	Fei Chen	Research on Statistical Relational Learning and Rough Set in SRL.	GrC	2007	DBLP DOI BibTeX RDF
2	François Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens	Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	graph and database mining, Fiedler vector, proximity measures, spectral clustering, statistical relational learning, Graph analysis, graph kernels, collaborative recommendation
2	Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King	Quantitative pharmacophore models with inductive logic programming.	Machine Learning	2006	DBLP DOI BibTeX RDF	Pharmacophore models, ILP, Statistical relational learning
2	Luc De Raedt	Statistical Relational Learning: An Inductive Logic Programming Perspective.	PKDD	2005	DBLP DOI BibTeX RDF
2	Lise Getoor	Tutorial on Statistical Relational Learning.	ILP	2005	DBLP DOI BibTeX RDF
2	Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg	Using relational knowledge discovery to prevent securities fraud.	KDD	2005	DBLP DOI BibTeX RDF	relational probability trees, fraud detection, statistical relational learning
2	Alexandrin Popescul, Lyle H. Ungar	Cluster-based concept invention for statistical relational learning.	KDD	2004	DBLP DOI BibTeX RDF	clustering, relational learning, feature generation
1	Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik	Gradient-based boosting for statistical relational learning: The relational dependency network case.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Fabrizio Riguzzi, Nicola Di Mauro	Applying the information bottleneck to statistical relational learning.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Ryan A. Rossi, Luke McDowell, David W. Aha, Jennifer Neville	Transforming Graph Representations for Statistical Relational Learning	CoRR	2012	DBLP BibTeX RDF
1	Achim Rettinger, Matthias Nickles, Volker Tresp	Statistical relational learning of trust.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan	Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	William R. Murray	Statistical Relational Learning in Student Modeling for Intelligent Tutoring Systems.	AIED	2011	DBLP DOI BibTeX RDF
1	Murat Can Ganiz, Cibin George, William M. Pottenger	Higher Order Naïve Bayes: A Novel Non-IID Approach to Text Classification.	IEEE Trans. Knowl. Data Eng.	2011	DBLP DOI BibTeX RDF	naïve bayes, IID, Machine learning, text classification, statistical relational learning
1	Luc De Raedt, Kristian Kersting	Statistical Relational Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Brian Delaney, Andrew S. Fast, William M. Campbell, Clifford J. Weinstein, David D. Jensen	The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity.	SDM	2010	DBLP BibTeX RDF
1	Hassan Khosravi, Bahareh Bina	A Survey on Statistical Relational Learning.	Canadian Conference on AI	2010	DBLP DOI BibTeX RDF
1	Matthias Broecheler, Lise Getoor	Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning.	NIPS	2010	DBLP BibTeX RDF
1	Marenglen Biba, Elton Ballhysa, Narasimha Rao Vajjhala, Vijay Raju Mullagiri	A Novel Structure Refining Algorithm for Statistical-Logical Models.	CISIS	2010	DBLP DOI BibTeX RDF	Statistical Relational Learning, Theory revision, Markov Logic Networks
1	Lucas Drumond, Rosario Girardi	Extracting ontology concept hierarchies from text using Markov logic.	SAC	2010	DBLP DOI BibTeX RDF	knowledge acquisition, ontology learning, Markov logic networks
1	Arun S. Maiya, Tanya Y. Berger-Wolf	Sampling community structure.	WWW	2010	DBLP DOI BibTeX RDF	clustering, social networks, graphs, sampling, complex networks, community detection
1	Niels Landwehr	Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract.	SIGKDD Explorations	2009	DBLP DOI BibTeX RDF
1	Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok	StReBio'09: statistical relational learning and mining in bioinformatics.	SIGKDD Explorations	2009	DBLP DOI BibTeX RDF
1	Achim Rettinger, Matthias Nickles, Volker Tresp	Statistical Relational Learning with Formal Ontologies.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Lilyana Mihalkova, Matthew Richardson	Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals.	ILP	2009	DBLP DOI BibTeX RDF
1	Sofus A. Macskassy	Using graph-based metrics with empirical risk minimization to speed up active learning on networked data.	KDD	2009	DBLP DOI BibTeX RDF	closeness centrality, community finding, within-network learning, clustering, active learning, social network analysis, semi-supervised learning, statistical relational learning, betweenness centrality, empirical risk minimization
1	Galileo Mark S. Namata Jr., Lise Getoor	Identifying graphs from noisy and incomplete data.	KDD Workshop on Knowledge Discovery from Uncertain Data	2009	DBLP DOI BibTeX RDF	data mining, classification, social networks, entity resolution, link prediction, statistical relational learning
1	Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik	Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule.	ICMLA	2009	DBLP DOI BibTeX RDF	Graphical Models, Statistical Relational Learning
1	Murat Can Ganiz, Nikita I. Lytkin, William M. Pottenger	Leveraging Higher Order Dependencies between Features for Text Classification.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	higher order learning, higher order naive bayes, higher order support vector machine, machine learning, text classification, statistical relational learning
1	Dominik Jain, Lorenz Mösenlechner, Michael Beetz	Equipping robot control programs with first-order probabilistic reasoning capabilities.	ICRA	2009	DBLP DOI BibTeX RDF
1	Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jain, Ulrich Klank, Michael Beetz	Probabilistic categorization of kitchen objects in table settings with a composite sensor.	IROS	2009	DBLP DOI BibTeX RDF
1	Luc De Raedt	The Logic of Learning.	ICFCA	2009	DBLP DOI BibTeX RDF
1	Tuyen N. Huynh, Raymond J. Mooney	Max-Margin Weight Learning for Markov Logic Networks.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Lilyana Mihalkova, Raymond J. Mooney	Learning to Disambiguate Search Queries from Short Sessions.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Jennifer Neville, David Jensen	A bias/variance decomposition for models using collective inference.	Machine Learning	2008	DBLP DOI BibTeX RDF	Evaluation, Statistical relational learning, Collective inference
1	Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen	Compressing probabilistic Prolog programs.	Machine Learning	2008	DBLP DOI BibTeX RDF	Network mining, Compression, Inductive logic programming, Statistical relational learning, Probabilistic logic, Theory revision, Biological applications
1	Fabrizio Riguzzi	ALLPAD: approximate learning of logic programs with annotated disjunctions.	Machine Learning	2008	DBLP DOI BibTeX RDF	Logic programs with annotated disjunctions, Inductive logic programming, Statistical relational learning, Probabilistic logic programming
1	Tuyen N. Huynh, Raymond J. Mooney	Discriminative structure and parameter learning for Markov logic networks.	ICML	2008	DBLP DOI BibTeX RDF
1	Pelin Angin, Jennifer Neville	A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation.	ICDM	2008	DBLP DOI BibTeX RDF
1	Rongjing Xiang, Jennifer Neville	Pseudolikelihood EM for Within-network Relational Learning.	ICDM	2008	DBLP DOI BibTeX RDF
1	Angelika Kimmig, Vítor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt	On the Efficient Execution of ProbLog Programs.	ICLP	2008	DBLP DOI BibTeX RDF
1	Paolo Frasconi, Manfred Jaeger, Andrea Passerini	Feature Discovery with Type Extension Trees.	ILP	2008	DBLP DOI BibTeX RDF
1	Kristian Kersting	SRL without Tears: An ILP Perspective.	ILP	2008	DBLP DOI BibTeX RDF
1	Luc De Raedt, Kristian Kersting	Probabilistic Inductive Logic Programming.	Probabilistic Inductive Logic Programming	2008	DBLP DOI BibTeX RDF
1	Lorenza Saitta, Christel Vrain	A Comparison between Two Statistical Relational Models.	ILP	2008	DBLP DOI BibTeX RDF
1	Joshua B. Tenenbaum	Building Theories of the World: Human and Machine Learning Perspectives.	ILP	2008	DBLP DOI BibTeX RDF
1	Ingo Thon, Niels Landwehr, Luc De Raedt	A Simple Model for Sequences of Relational State Descriptions.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Luc De Raedt	Logical and Relational Learning.	SBIA	2008	DBLP DOI BibTeX RDF
1	Rens Bod	The Data-Oriented Parsing Approach: Theory and Application.	Computational Intelligence: A Compendium	2008	DBLP DOI BibTeX RDF
1	Luc De Raedt	Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk).	NeSy	2007	DBLP BibTeX RDF
1	Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa	Change of Representation for Statistical Relational Learning.	IJCAI	2007	DBLP BibTeX RDF
1	Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David Jensen, Henry G. Goldberg, John Komoroske	Relational data pre-processing techniques for improved securities fraud detection.	KDD	2007	DBLP DOI BibTeX RDF	relational probability trees, normalization, fraud detection, statistical relational learning, data pre-processing
1	Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel	Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search.	ECML	2007	DBLP DOI BibTeX RDF	probabilistic logical models, probability trees, Bayesian networks, inductive logic programming, structure learning, statistical relational learning
1	David D. Jensen	Beyond Prediction: Directions for Probabilistic and Relational Learning.	ILP	2007	DBLP DOI BibTeX RDF	quasi-experimental design, Statistical relational learning, causal inference
1	Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile	A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks.	KES	2007	DBLP DOI BibTeX RDF	symbolic-statistical frameworks, machine learning, Systems biology, statistical relational learning, metabolic networks
1	Stanley Kok, Pedro Domingos	Statistical predicate invention.	ICML	2007	DBLP DOI BibTeX RDF
1	Marco Gori	Learning in Hyperlinked Environments.	ECIR	2007	DBLP DOI BibTeX RDF
1	Angelika Kimmig, Luc De Raedt, Hannu Toivonen	Probabilistic Explanation Based Learning.	ECML	2007	DBLP DOI BibTeX RDF
1	Mark Goadrich, Jude W. Shavlik	Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates.	ILP	2007	DBLP DOI BibTeX RDF
1	Daniel Lowd, Pedro Domingos	Efficient Weight Learning for Markov Logic Networks.	PKDD	2007	DBLP DOI BibTeX RDF
1	Kristian Kersting	An inductive logic programming approach to statistical relational learning.		2006	RDF
1	YongHong Tian	Context-based statistical relational learning.	AI Commun.	2006	DBLP BibTeX RDF
1	Kristian Kersting	An inductive logic programming approach to statistical relational learning.	AI Commun.	2006	DBLP BibTeX RDF
1	Hendrik Blockeel, David Jensen, Stefan Kramer	Introduction to the special issue on multi-relational data mining and statistical relational learning.	Machine Learning	2006	DBLP DOI BibTeX RDF
1	Matthew Richardson, Pedro Domingos	Markov logic networks.	Machine Learning	2006	DBLP DOI BibTeX RDF	Knowledge-based model construction, Pseudo-likelihood, Markov random fields, Satisfiability, First-order logic, Graphical models, Markov chain Monte Carlo, Inductive logic programming, Link prediction, Statistical relational learning, Markov networks, Log-linear models
1	Shuyang Sun, Jianzhong Chen, Dayou Liu, Chengmin Sun	A Posterior-Based Method for Markov Logic Networks Parameters Learning.	IEEE ICCI	2006	DBLP DOI BibTeX RDF
1	Uwe Dick, Kristian Kersting	Fisher Kernels for Relational Data.	ECML	2006	DBLP DOI BibTeX RDF
1	Kristian Kersting	An Inductive Logic Programming Approach to Statistical Relational Learning		2005	RDF
1	Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik	View Learning for Statistical Relational Learning: With an Application to Mammography.	IJCAI	2005	DBLP BibTeX RDF
1	François Fouss, Alain Pirotte, Marco Saerens	A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation.	Web Intelligence	2005	DBLP DOI BibTeX RDF
1	Luc De Raedt, Kristian Kersting	Probabilistic Inductive Logic Programming.	ALT	2004	DBLP DOI BibTeX RDF
1	Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock	Statistical Relational Learning for Document Mining.	ICDM	2003	DBLP DOI BibTeX RDF