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ORCIDMachine Learning, Volume 74, 2009
Volume 74, Number 1, January 2009
- Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney:
Semi-supervised graph clustering: a kernel approach. 1-22 - David R. Hardoon, John Shawe-Taylor
:
Convergence analysis of kernel Canonical Correlation Analysis: theory and practice. 23-38 - Ying Yang, Geoffrey I. Webb:
Discretization for naive-Bayes learning: managing discretization bias and variance. 39-74 - Eerika Savia, Kai Puolamäki, Samuel Kaski:
Latent grouping models for user preference prediction. 75-109
Volume 74, Number 2, February 2009
- Xiaogang Su, Chih-Ling Tsai, Morgan C. Wang:
Tree-structured model diagnostics for linear regression. 111-131 - Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Matrix representations, linear transformations, and kernels for disambiguation in natural language. 133-158 - Finnegan Southey, Bret Hoehn, Robert C. Holte:
Effective short-term opponent exploitation in simplified poker. 159-189 - Randa Kassab, Frédéric Alexandre:
Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data. 191-234
Volume 74, Number 3, March 2009
- Brian M. Steele:
Exact bootstrap k-nearest neighbor learners. 235-255 - Nuno A. Fonseca, Ashwin Srinivasan, Fernando M. A. Silva, Rui Camacho:
Parallel ILP for distributed-memory architectures. 257-279 - Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock:
Finding anomalous periodic time series. 281-313 - Francesco Dinuzzo, Giuseppe De Nicolao:
An algebraic characterization of the optimum of regularized kernel methods. 315-345
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