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Publication search results
found 29 matches
- 2007
- Davide Bacciu, Alessio Botta, Dan C. Stefanescu:
Augmenting the Distributed Evaluation of Path Queries on Data-Graphs with Information Granules. MLG 2007 - Pierre Baldi:
Learning and Charting Chemical Space with Strings and Graphs: Challenges and Opportunities for AI and Machine Learning. MLG 2007 - Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok:
Graphs, Hypergraphs, and Inductive Logic Programming. MLG 2007 - Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel:
Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG 2007 - Karsten M. Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans-Peter Kriegel:
An Efficient Sampling Scheme For Comparison of Large Graphs. MLG 2007 - Ulf Brefeld, Thoralf Klein, Tobias Scheffer:
Support Vector Machines for Collective Inference. MLG 2007 - Jianzhong Chen, Stephen H. Muggleton, Jose Santos:
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning. MLG 2007 - Christian Desrosiers, Philippe Galinier, Pierre Hansen, Alain Hertz:
Improving Frequent Subgraph Mining in the Presence of Symmetry. MLG 2007 - Mathias Fiedler, Christian Borgelt:
Support Computation for Mining Frequent Subgraphs in a Single Graph. MLG 2007 - Thomas Gärtner:
Efficient Kernel Methods for Graphs. MLG 2007 - Thomas Gärtner, Gemma C. Garriga:
The Cost of Learning Directed Cuts. MLG 2007 - Lise Getoor:
Graph Identification. MLG 2007 - Jiawei Han:
Mining, Indexing, and Searching Graphs in Large Data Sets. MLG 2007 - Shawndra Hill, Foster J. Provost, Chris Volinsky:
Learning and Inference in Massive Social Networks. MLG 2007 - Manfred Jaeger, Petr Lidman, Juan L. Mateo:
Comparative Evaluation of PL languages. MLG 2007 - Leonid Kontorovich:
A Universal Kernel for Learning Regular Languages. MLG 2007 - Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis. MLG 2007 - Kristiaan Pelckmans, Johan A. K. Suykens:
Transductive Rademacher Complexities for Learning Over a Graph. MLG 2007 - Luc De Raedt:
ProbLog and its Application to Link Mining in Biological Networks. MLG 2007 - Jan Ramon, Siegfried Nijssen:
General Graph Refinement with Polynomial Delay. MLG 2007 - Kaspar Riesen, Stefan Fankhauser, Horst Bunke:
Speeding Up Graph Edit Distance Computation with a Bipartite Heuristic. MLG 2007 - Leander Schietgat, Jan Ramon, Maurice Bruynooghe:
A Polynomial-time Metric for Outerplanar Graphs. MLG 2007 - Janne Sinkkonen, Janne Aukia, Samuel Kaski:
Inferring Vertex Properties from Topology in Large Networks. MLG 2007 - Alexander J. Smola:
Learning Graph Matching. MLG 2007 - Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi:
DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG 2007 - Shankar Vembu, Thomas Gärtner, Stefan Wrobel:
Semidefinite Ranking on Graphs. MLG 2007 - Yana Volkovich, Nelly Litvak, Debora Donato:
Web Graph Parameters and the Pagerank Distribution. MLG 2007 - Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models. MLG 2007 - Paolo Frasconi, Kristian Kersting, Koji Tsuda:
Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings. 2007 [contents]
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