Machine 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 Lv, 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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