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ORCIDMachine Learning, Volume 82
Volume 82, Number 1, January 2011
- David Martens, Bart Baesens, Tom Fawcett
:
Editorial survey: swarm intelligence for data mining. 1-42 - Yanping Lu, Shengrui Wang, Shaozi Li, Changle Zhou:
Particle swarm optimizer for variable weighting in clustering high-dimensional data. 43-70 - Luis Felipe Giraldo, Fernando Lozano, Nicanor Quijano:
Foraging theory for dimensionality reduction of clustered data. 71-90
Volume 82, Number 2, February 2011
- S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel:
Introduction to the special issue on mining and learning with graphs. 91-93 - Ichigaku Takigawa, Hiroshi Mamitsuka:
Efficiently mining δ-tolerance closed frequent subgraphs. 95-121 - Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf:
Multi-way set enumeration in weight tensors. 123-155 - Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
Detecting communities and their evolutions in dynamic social networks - a Bayesian approach. 157-189 - Achim Rettinger, Matthias Nickles, Volker Tresp:
Statistical relational learning of trust. 191-209 - Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, Zhong Su:
Topic level expertise search over heterogeneous networks. 211-237 - Ingo Thon, Niels Landwehr, Luc De Raedt:
Stochastic relational processes: Efficient inference and applications. 239-272
Volume 82, Number 3, March 2011
- Peter A. Flach:
The Machine Learning journal: 25 years young. 273-274 - Pat Langley:
The changing science of machine learning. 275-279 - Jacob W. Crandall, Michael A. Goodrich:
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning. 281-314 - Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli:
Neural networks for relational learning: an experimental comparison. 315-349 - Alexander Clark, Christophe Costa Florêncio, Chris Watkins:
Languages as hyperplanes: grammatical inference with string kernels. 351-373 - Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb:
Feature-subspace aggregating: ensembles for stable and unstable learners. 375-397 - Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl:
Knows what it knows: a framework for self-aware learning. 399-443 - Saher Esmeir, Shaul Markovitch:
Anytime learning of anycost classifiers. 445-473 - Jan Zahálka, Filip Zelezný:
An experimental test of Occam's razor in classification. 475-481
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