default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID7th MLG / 6th SRL @ ILP 2009: Leuven, Belgium
- Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan:
Proceedings of the Joint 7th Workshop on Mining and Learning with Graphs and the 6th International Workshop on Statistical Relational Learning, MLG/SRL@ILP 2009, Leuven, Belgium, July 2-4, 2009. 2009
MLG 2009
Oral Presentation
- Christian Desrosiers, George Karypis:
Within-network Classification Using Local Structure Similarity. - Christian Desrosiers, Alain Hertz, Philippe Galinier, Pierre Hansen:
Mining Graphs to Discover New Theorems in Mathematics. - Christoph Lippert, Nino Shervashidze, Oliver Stegle:
Relational Models for Generating Labeled Real-world Graphs. - Andreas Maunz, Christoph Helma, Stefan Kramer:
Large-Scale Graph Mining Using Backbone Refinement Classes. - Galileo Mark S. Namata Jr., Lise Getoor:
A Pipeline Approach to Graph Identification. - Juuso A. Parkkinen, Janne Sinkkonen, Ádám Gyenge, Samuel Kaski:
A Block Model Suitable for Sparse Graphs. - Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt:
Maximum Common Subgraph Mining: A Fast and Effective Approach towards Feature Generation. - Shankar Vembu, Thomas Gärtner, Mario Boley:
MAP Structured Prediction by Sampling.
Poster Presentation
- Albert Bifet, Ricard Gavaldà:
Adaptive XML Tree Mining on Evolving Data Streams. - Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel:
New Results on Listing Closed Sets of Strongly Accessible Set Systems. - Charles Bouveyron, Hugh A. Chipman, Etienne Côme:
Supervised Classification and Visualization of Social Networks Based on a Probabilistic Latent Space Model. - Mickey Brautbar:
Online Learning a Binary Labeling of a Graph. - Thomas P. Cason, Pierre-Antoine Absil, Paul Van Dooren:
Iterative Methods for Low Rank Approximation of Graph Similarity Matrices. - Christophe Costa Florêncio, Jan Ramon, Jonny Daenen, Jan Van den Bussche, Dries Van Dyck:
Context-free Graph Grammars as a Language-bias Mechanism for Graph Pattern Mining. - Christophe Costa Florêncio:
Identification of Hyperedge-Replacement Graph Grammars. - Guillaume Damiand, Colin de la Higuera, Jean-Christophe Janodet, Émilie Samuel, Christine Solnon:
A Polynomial Algorithm for Subisomorphism of Open Plane Graphs. - Frank Eichinger, Klemens Böhm:
Towards Scalability of Graph-Mining Based Bug Localisation. - Risi Kondor, Nino Shervashidze:
The Graphlet Spectrum. - Olana Missura, Thomas Gärtner:
Classification on Graphs for Dynamic Difficulty Adjustment: More Questions Than Answers. - Tsuyoshi Murata:
New Modularity for Evaluating Communities in Bipartite Networks. - Alberto Pinto:
A Statistical Generalization of Music Graph Spectral Mining.
SRL 2009
Oral Presentation
- Matthias Broecheler, Lise Getoor:
Probabilistic Similarity Logic. - Rodrigo de Salvo Braz, Sriraam Natarajan, Hung Bui, Jude W. Shavlik, Stuart Russell:
Anytime Lifted Belief Propagation. - Tuyen N. Huynh, Raymond Mooney:
Max-Margin Weight Learning for Markov Logic Networks. - Jacek Kisynski, David Poole:
Lifted Aggregation in Directed First-order Probabilistic Models. - Aniruddh Nath, Pedro M. Domingos:
A Language for Relational Decision Theory. - Sebastian Riedel:
Cutting Plane MAP Inference for Markov Logic. - Nima Taghipour, Wannes Meert, Jan Struyf, Hendrik Blockeel:
First-Order Bayes-Ball for CP-Logic. - Volker Tresp, Yi Huang, Markus Bundschus, Achim Rettinger:
Materializing and Querying Learned Knowledge.
Poster Presentation
- Ronen I. Brafman, Yagil Engel:
Lifted Optimization for Relational Preference Rules. - Maurice Bruynooghe, Daan Fierens, Bernd Gutmann, Angelika Kimmig, Niels Landwehr, Wannes Meert, Ingo Thon, Luc De Raedt:
An Exercise with Statistical Relational Learning Systems. - Michael Chiang, David Poole:
Incremental EM for Latent-class Relational Models. - James Cussens:
On Generative Parameterisations of Markov Logic Networks. - Jan De Belder, Wim De Smet, Raquel Mochales Palau, Marie-Francine Moens:
Does Google own Youtube? Entity Relationship Extraction with Minimal Supervision. - Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Learning Parameters of Chain Logic Theories. - Kristian Kersting, Zhao Xu:
Relational Gaussian Processes for Learning Preference Relations. - Angelika Kimmig, Bernd Gutmann, Vítor Santos Costa:
Trading Memory for Answers: Towards Tabling ProbLog. - Stanley Kok, Pedro M. Domingos:
Hypergraph Lifting for Structure Learning in Markov Logic Networks. - Matthew Michelson, Sofus A. Macskassy:
Layered, Multivariate Anomaly Explanations: A First Look. - Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik:
Knowledge Intensive Learning - Directed vs Undirected SRL Models. - Vítor Santos Costa, Aline Paes:
On Connecting PRISM to CLP(BN). - Joost Vennekens, Angelika Kimmig, Theofrastos Mantadelis, Bernd Gutmann, Luc De Raedt, Maurice Bruynooghe:
From ProbLog to First Order Logic: A First Exploration. - Hiroaki Watanabe, Stephen H. Muggleton:
Abstracting Probabilistic Relational Model by Specialisation.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-06-17 21:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
