Search results for "Relational learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Lei Tang, Huan Liu	Relational learning via latent social dimensions.	KDD	2009	DBLP DOI BibTeX RDF	modularity, social media, relational learning, behavior prediction, social dimensions
3	Ajit Paul Singh, Geoffrey J. Gordon	Relational learning via collective matrix factorization.	KDD	2008	DBLP DOI BibTeX RDF	stochastic approximation, relational learning, matrix factorization
3	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
3	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton	07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
3	Claudia Perlich, Foster J. Provost	Distribution-based aggregation for relational learning with identifier attributes.	Machine Learning	2006	DBLP DOI BibTeX RDF	networks, aggregation, relational learning, identifiers
3	Tolga Könik, John E. Laird	Learning goal hierarchies from structured observations and expert annotations.	Machine Learning	2006	DBLP DOI BibTeX RDF	Relational learning by observation, Behavioral cloning, Cognitive agent architectures, Relational learning, Inductive logic programming (ILP)
3	Drew Mellor	Policy transfer with a relational learning classifier system.	GECCO Workshops	2005	DBLP DOI BibTeX RDF	blocks world, policy transfer, learning classifier system, first order logic, XCS, relational learning
3	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton	05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
3	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton	05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
3	Alexandrin Popescul, Lyle H. Ungar	Cluster-based concept invention for statistical relational learning.	KDD	2004	DBLP DOI BibTeX RDF	clustering, relational learning, feature generation
3	Lawrence B. Holder, Diane J. Cook	Graph-based relational learning: current and future directions.	SIGKDD Explorations	2003	DBLP DOI BibTeX RDF	graph-based relational learning, learning, graph, structural, relational, discovery
3	Henri Prade, Gilles Richard, Mathieu Serrurier	Enriching Relational Learning with Fuzzy Predicates.	PKDD	2003	DBLP DOI BibTeX RDF	Inductive Logic Programming, fuzzy rule, relational learning, confidence degree
3	Lubos Popelínsky	Efficient Relational Learning from Sparse Data.	AIMSA	2002	DBLP DOI BibTeX RDF	database schema redesign, mining in spatial data, relational learning
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	About Knowledge and Inference in Logical and Relational Learning.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
2	Chang Hun You, Lawrence B. Holder, Diane J. Cook	Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning.	Biomedical Data and Applications	2009	DBLP DOI BibTeX RDF
2	Érick Alphonse, Aomar Osmani	Empirical Study of Relational Learning Algorithms in the Phase Transition Framework.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
2	Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito	Relational Learning by Imitation.	KES-AMSTA	2009	DBLP DOI BibTeX RDF	Learning by Imitation, Agents, Relational Learning
2	Christophe Costa Florêncio, Fabrizio Costa, Jan Ramon, Joost N. Kok (eds.)	Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, Paris, France, June 28, 2009	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP BibTeX RDF
2	Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo	Comparing graph-based representations of protein for mining purposes.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	bonds, chemical interactions, discriminative feature, edges, preprocessing, vertices, protein structure, graph representation, amino acids
2	Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden	Finding optimal parameters for edit distance based sequence classification is NP-hard.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF
2	Jorge M. Arevalillo, Hilario Navarro	Using random forests to uncover bivariate interactions in high dimensional small data sets.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	bivariate interactions, random forests, microarray data
2	H. P. Shanahan	Can we improve on the identification of transcription factor binding sites?	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	string kernel, transcription factor binding site
2	Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg	Multi-class protein fold recognition using large margin logic based divide and conquer learning.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	protein fold recognition, support vector inductive logic programming, evaluation, support vector machines, bioinformatics, inductive logic programming, multi-class classification
2	W. Hämäläinen	Lift-based search for significant dependencies in dense data sets.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	association rules, redundancy, dependency analysis, depth-first search, statistical significance
2	Jan Ramon, Fabrizio Costa	Handling missing values and censored data in PCA of pharmacological matrices.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF
2	Uros Midic, A. Keith Dunker, Zoran Obradovic	Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	protein sequence alignment, structurally disordered proteins, substitution matrices
2	Tammy M. K. Cheng, Yu-En Lu, Pietro Liò	Identification of structurally important amino acids in proteins by graph-theoretic measures.	KDD Workshop on Statistical and Relational Learning in Bioinformatics	2009	DBLP DOI BibTeX RDF	protein stability, graph theory, computational biology, vertex cover, protein structure
2	Edmondo Trentin, Leonardo Rigutini	A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.	ICANN	2009	DBLP DOI BibTeX RDF	unsupervised relational learning, recursive network, Density estimation
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	Rongjing Xiang, Jennifer Neville	Pseudolikelihood EM for Within-network Relational Learning.	ICDM	2008	DBLP DOI BibTeX RDF
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	Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito	Stochastic Propositionalization for Efficient Multi-relational Learning.	ISMIS	2008	DBLP DOI BibTeX RDF
2	Luc De Raedt	Logical and Relational Learning.	SBIA	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	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton (eds.)	Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007	Probabilistic, Logical and Relational Learning - A Further Synthesis	2008	DBLP BibTeX RDF
2	Érick Alphonse, Aomar Osmani	A Model to Study Phase Transition and Plateaus in Relational Learning.	ILP	2008	DBLP DOI BibTeX RDF
2	Francesca A. Lisi, Floriana Esposito	Foundations of Onto-Relational Learning.	ILP	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	Ulrich Rückert 0002, Stefan Kramer	Margin-based first-order rule learning.	Machine Learning	2008	DBLP DOI BibTeX RDF	First-order learning, Capacity control, Relational learning, Rule learning, Margins
2	Benjamin Habegger	Mapping a database into an ontology : an interactive relational learning approach.	ICDE	2007	DBLP DOI BibTeX RDF
2	Alessandro Moschitti, Fabio Massimo Zanzotto	Fast and effective kernels for relational learning from texts.	ICML	2007	DBLP DOI BibTeX RDF
2	Fei Chen	Research on Statistical Relational Learning and Rough Set in SRL.	GrC	2007	DBLP DOI BibTeX RDF
2	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
2	Pedro Domingos, Parag Singla	Markov Logic in Infinite Domains.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Barbara Hammer, Alessio Micheli, Alessandro Sperduti	A general framework for unsupervised preocessing of structured data.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Sriraam Natarajan, Prasad Tadepalli, Alan Fern	Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling	Logical Particle Filtering.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Peter A. Flach, Edson Takashi Matsubara	On classification, ranking, and probability estimation.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	James Cussens	Model equivalence of PRISM programs.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Nicolas Baskiotis, Michèle Sebag	Structural Sampling for Statistical Software Testing.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara	Variational Bayes via Propositionalization.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP BibTeX RDF
2	Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling	Learning Probabilistic Relational Dynamics for Multiple Tasks.	Probabilistic, Logical and Relational Learning - A Further Synthesis	2007	DBLP 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	Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols	A Phase Transition-Based Perspective on Multiple Instance Kernels.	ILP	2007	DBLP DOI BibTeX RDF	Multiple Instance Problems, Relational Kernels, Support Vector Machines, Phase Transition, Relational Learning
2	Celine Vens, Jan Ramon, Hendrik Blockeel	Refining Aggregate Conditions in Relational Learning.	PKDD	2006	DBLP DOI BibTeX RDF
2	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (eds.)	Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005	Probabilistic, Logical and Relational Learning	2006	DBLP BibTeX RDF
2	Aram Galstyan, Paul R. Cohen	Iterative Relational Classification Through Three-State Epidemic Dynamics.	ISI	2006	DBLP DOI BibTeX RDF	Relational learning, binary classification
2	Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski	First order random forests: Learning relational classifiers with complex aggregates.	Machine Learning	2006	DBLP DOI BibTeX RDF	Aggregation, Relational learning, Random forests, Decision tree learning
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	Michelangelo Ceci, Margherita Berardi, Donato Malerba	Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches.	ICDAR	2005	DBLP DOI BibTeX RDF
2	Michelangelo Ceci, Margherita Berardi, Donato Malerba	Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding.	AI*IA	2005	DBLP DOI BibTeX RDF
2	Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel	Dirichlet enhanced relational learning.	ICML	2005	DBLP DOI BibTeX RDF
2	Lise Getoor	Tutorial on Statistical Relational Learning.	ILP	2005	DBLP DOI BibTeX RDF
2	John W. Lloyd, Tim D. Sears	An Architecture for Rational Agents.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Manfred Jaeger	Importance Sampling on Relational Bayesian Networks.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Jennifer Neville, David Jensen	Leveraging relational autocorrelation with latent group models.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Elias Gyftodimos, Peter A. Flach	Combining Bayesian Networks with Higher-Order Data Representations.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Taisuke Sato, Yoshitaka Kameya	Learning through failure.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Tobias Scheffer	Multi-View Learning and Link Farm Discovery.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov	BLOG: Probabilistic Models with Unknown Objects.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Nicos Angelopoulos, James Cussens	Exploiting independence for branch operations in Bayesian learning of C&RTs.	Probabilistic, Logical and Relational Learning	2005	DBLP BibTeX RDF
2	Andrea Passerini, Paolo Frasconi, Luc De Raedt	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.	Probabilistic, Logical and Relational Learning	2005	DBLP 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	R. S. Milton, V. Uma Maheswari, Arul Siromoney	Studies on Rough Sets in Multiple Tables.	RSFDGrC	2005	DBLP DOI BibTeX RDF	multi-table information system, prediction, Rough Set Theory, relational learning, Variable Precision Rough Sets
2	R. S. Milton, V. Uma Maheswari, Arul Siromoney	Rough Sets and Relational Learning.	T. Rough Sets	2004	DBLP DOI BibTeX RDF
2	Érick Alphonse, Stan Matwin	Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning.	J. Intell. Inf. Syst.	2004	DBLP DOI BibTeX RDF	relational learning, feature subset selection, propositionalization
2	Jérôme Maloberti, Michèle Sebag	Fast Theta-Subsumption with Constraint Satisfaction Algorithms.	Machine Learning	2004	DBLP DOI BibTeX RDF	k-locality, constraint satisfaction, phase transition, relational learning, meta-learning
2	Claudia Perlich, Foster J. Provost	Aggregation-based feature invention and relational concept classes.	KDD	2003	DBLP DOI BibTeX RDF	aggregation, relational learning, feature construction, constructive induction, propositionalization
2	Seiji Yamada, Yuki Nakai	Monitoring Partial Updates in Web Pages Using Relational Learning.	AH	2002	DBLP BibTeX RDF
2	Masayuki Okabe, Seiji Yamada	Interactive document retrieval with relational learning.	SAC	2001	DBLP DOI BibTeX RDF	information retrieval, relevance feedback, relational learning
2	Walter F. Bischof, Terry Caelli	Learning Complex Action Patterns with CRGST.	ICAPR	2001	DBLP DOI BibTeX RDF	action learning, domain knowledge constraints, conditional rule generation, relational learning, spatio-temporal patterns
2	Johanne Morin, Stan Matwin	Relational Learning with Transfer of Knowledge Between Domains.	Canadian Conference on AI	2000	DBLP DOI BibTeX RDF
2	Luc De Raedt	A Logical Database Mining Query Language.	ILP	2000	DBLP DOI BibTeX RDF	database mining query language, versionspaces, inductive logic programming, relational learning, APRIORI, inductive database
2	Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag	Relational Learning: Hard Problems and Phase Transitions.	AI*IA	1999	DBLP DOI BibTeX RDF
2	Luc De Raedt	An Inductive Logic Programming Query Language for Database Mining.	AISC	1998	DBLP DOI BibTeX RDF	database mining query language, inductive query language, data mining, inductive logic programming, relational learning
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	Michael Chiang, David Poole	Reference classes and relational learning.	Int. J. Approx. Reasoning	2012	DBLP DOI BibTeX RDF
1	Patricia Jiménez, José Luis Arjona, José Luis Álvarez	On Relational Learning for Information Extraction.	PAAMS (Workshops)	2012	DBLP DOI BibTeX RDF
1	Andrzej Szwabe, Pawel Misiorek, Przemyslaw Walkowiak	Reflective Relational Learning for Ontology Alignment.	DCAI	2012	DBLP DOI BibTeX RDF
1	Rui Camacho, Max Pereira, Vítor Santos Costa, Nuno A. Fonseca, Carlos Adriano Gonçalves, Carlos J. V. Simões, Rui M. M. Brito	A Relational Learning Approach to Structure-Activity Relationships in Drug Design Toxicity Studies.	J. Integrative Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Francesca A. Lisi	AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining.	Int. J. Semantic Web Inf. Syst.	2011	DBLP DOI BibTeX RDF
1	Rongjing Xiang, Jennifer Neville	Relational Learning with One Network: An Asymptotic Analysis.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli	Neural networks for relational learning: an experimental comparison.	Machine Learning	2011	DBLP DOI 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