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Publication search results
found 12 matches
- 2009
- Francesco Dinuzzo, Giuseppe De Nicolao:
An algebraic characterization of the optimum of regularized kernel methods. Mach. Learn. 74(3): 315-345 (2009) - Nuno A. Fonseca, Ashwin Srinivasan, Fernando M. A. Silva, Rui Camacho:
Parallel ILP for distributed-memory architectures. Mach. Learn. 74(3): 257-279 (2009) - David R. Hardoon, John Shawe-Taylor:
Convergence analysis of kernel Canonical Correlation Analysis: theory and practice. Mach. Learn. 74(1): 23-38 (2009) - Randa Kassab, Frédéric Alexandre:
Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data. Mach. Learn. 74(2): 191-234 (2009) - Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney:
Semi-supervised graph clustering: a kernel approach. Mach. Learn. 74(1): 1-22 (2009) - Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Matrix representations, linear transformations, and kernels for disambiguation in natural language. Mach. Learn. 74(2): 133-158 (2009) - Umaa Rebbapragada, Pavlos Protopapas, Carla E. Brodley, Charles R. Alcock:
Finding anomalous periodic time series. Mach. Learn. 74(3): 281-313 (2009) - Eerika Savia, Kai Puolamäki, Samuel Kaski:
Latent grouping models for user preference prediction. Mach. Learn. 74(1): 75-109 (2009) - Finnegan Southey, Bret Hoehn, Robert C. Holte:
Effective short-term opponent exploitation in simplified poker. Mach. Learn. 74(2): 159-189 (2009) - Brian M. Steele:
Exact bootstrap k-nearest neighbor learners. Mach. Learn. 74(3): 235-255 (2009) - Xiaogang Su, Chih-Ling Tsai, Morgan C. Wang:
Tree-structured model diagnostics for linear regression. Mach. Learn. 74(2): 111-131 (2009) - Ying Yang, Geoffrey I. Webb:
Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. 74(1): 39-74 (2009)
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