Volume 81, Number 1, October 2010

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  José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag: Special issue for ECML PKDD 2010: Guest editors' introduction. 1-4
• 
  Lan Du, Wray L. Buntine, Huidong Jin: A segmented topic model based on the two-parameter Poisson-Dirichlet process. 5-19
• 
  Jason Weston, Samy Bengio, Nicolas Usunier: Large scale image annotation: learning to rank with joint word-image embeddings. 21-35
• 
  Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie: On the eigenvectors of p-Laplacian. 37-51
• 
  Ni Lao, William W. Cohen: Relational retrieval using a combination of path-constrained random walks. 53-67
• 
  Wei Liu, Sanjay Chawla: Mining adversarial patterns via regularized loss minimization. 69-83
• 
  Ali Nouri, Michael L. Littman: Dimension reduction and its application to model-based exploration in continuous spaces. 85-98
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  Arvind Agarwal, Hal Daumé III: A geometric view of conjugate priors. 99-113

Volume 81, Number 2, November 2010

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  Pavel Laskov, Richard Lippmann: Machine learning in adversarial environments. 115-119
• 
  Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar: The security of machine learning. 121-148
• 
  Ofer Dekel, Ohad Shamir, Lin Xiao: Learning to classify with missing and corrupted features. 149-178
• 
  Yingbo Song, Michael E. Locasto, Angelos Stavrou, Angelos D. Keromytis, Salvatore J. Stolfo: On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems. 179-205
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  Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Graph regularization methods for Web spam detection. 207-225

Volume 81, Number 3, December 2010

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  Peter A. Flach: The Machine Learning journal: 250 issues and counting. 227-228
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  Sylvain Ferrandiz, Marc Boullé: Bayesian instance selection for the nearest neighbor rule. 229-256
• 
  Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas: An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. 257-282
• 
  Sertan Girgin, Faruk Polat, Reda Alhajj: Improving reinforcement learning by using sequence trees. 283-331
• 
  Shivani Agarwal: Learning to rank on graphs. 333-357
• 
  Andrey Bernstein, Nahum Shimkin: Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains. 359-397

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