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ORCIDMachine Learning, Volume 81, 2010
Volume 81, Number 1, October 2010
- 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 - Arvind Agarwal, Hal Daumé III:
A geometric view of conjugate priors. 99-113
Volume 81, Number 2, November 2010
- 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 - Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo:
Graph regularization methods for Web spam detection. 207-225
Volume 81, Number 3, December 2010
- Peter A. Flach:
The Machine Learning journal: 250 issues and counting. 227-228 - 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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