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Publication search results
found 119 matches
- 2012
- Ji Liu, Peter Wonka, Jieping Ye:
A Multi-Stage Framework for Dantzig Selector and LASSO. J. Mach. Learn. Res. 13: 1189-1219 (2012) - Yang Wang, Duan Tran, Zicheng Liao, David A. Forsyth:
Discriminative hierarchical part-based models for human parsing and action recognition. J. Mach. Learn. Res. 13: 3075-3102 (2012) - Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa:
Multi-target regression with rule ensembles. J. Mach. Learn. Res. 13: 2367-2407 (2012) - Nir Ailon:
An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity. J. Mach. Learn. Res. 13: 137-164 (2012) - Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky:
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion. J. Mach. Learn. Res. 13: 2293-2337 (2012) - Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen:
Dynamic policy programming. J. Mach. Learn. Res. 13: 3207-3245 (2012) - Adrian Barbu, Nathan Lay:
An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. 13: 2177-2204 (2012) - Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski:
Efficient methods for robust classification under uncertainty in kernel matrices. J. Mach. Learn. Res. 13: 2923-2954 (2012) - Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl:
MULTIBOOST: A Multi-purpose Boosting Package. J. Mach. Learn. Res. 13: 549-553 (2012) - James Bergstra, Yoshua Bengio:
Random Search for Hyper-Parameter Optimization. J. Mach. Learn. Res. 13: 281-305 (2012) - Gérard Biau:
Analysis of a Random Forests Model. J. Mach. Learn. Res. 13: 1063-1095 (2012) - Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan:
Bayesian mixed-effects inference on classification performance in hierarchical data sets. J. Mach. Learn. Res. 13: 3133-3176 (2012) - Gavin Brown, Adam Craig Pocock, Ming-Jie Zhao, Mikel Luján:
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection. J. Mach. Learn. Res. 13: 27-66 (2012) - Michael Brückner, Christian Kanzow, Tobias Scheffer:
Static prediction games for adversarial learning problems. J. Mach. Learn. Res. 13: 2617-2654 (2012) - Carl Brunner, Andreas Fischer, Klaus Luig, Thorsten Thies:
Pairwise support vector machines and their application to large scale problems. J. Mach. Learn. Res. 13: 2279-2292 (2012) - Kian Ming Adam Chai:
Variational Multinomial Logit Gaussian Process. J. Mach. Learn. Res. 13: 1745-1808 (2012) - Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu:
SVDFeature: a toolkit for feature-based collaborative filtering. J. Mach. Learn. Res. 13: 3619-3622 (2012) - David Chiang:
Hope and Fear for Discriminative Training of Statistical Translation Models. J. Mach. Learn. Res. 13: 1159-1187 (2012) - Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden:
Sign language recognition using sub-units. J. Mach. Learn. Res. 13: 2205-2231 (2012) - Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Algorithms for Learning Kernels Based on Centered Alignment. J. Mach. Learn. Res. 13: 795-828 (2012) - Koby Crammer, Mark Dredze, Fernando Pereira:
Confidence-Weighted Linear Classification for Text Categorization. J. Mach. Learn. Res. 13: 1891-1926 (2012) - Ofer Dekel, Claudio Gentile, Karthik Sridharan:
Selective sampling and active learning from single and multiple teachers. J. Mach. Learn. Res. 13: 2655-2697 (2012) - Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao:
Optimal Distributed Online Prediction Using Mini-Batches. J. Mach. Learn. Res. 13: 165-202 (2012) - Trinh Minh Tri Do, Thierry Artières:
Regularized bundle methods for convex and non-convex risks. J. Mach. Learn. Res. 13: 3539-3583 (2012) - Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, David P. Woodruff:
Fast approximation of matrix coherence and statistical leverage. J. Mach. Learn. Res. 13: 3475-3506 (2012) - Ran El-Yaniv, Yair Wiener:
Active Learning via Perfect Selective Classification. J. Mach. Learn. Res. 13: 255-279 (2012) - Tim van Erven, Mark D. Reid, Robert C. Williamson:
Mixability is Bayes Risk Curvature Relative to Log Loss. J. Mach. Learn. Res. 13: 1639-1663 (2012) - Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné:
DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13: 2171-2175 (2012) - Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann:
Multi-Assignment Clustering for Boolean Data. J. Mach. Learn. Res. 13: 459-489 (2012) - Christopher R. Genovese, Jiashun Jin, Larry A. Wasserman, Zhigang Yao:
A Comparison of the Lasso and Marginal Regression. J. Mach. Learn. Res. 13: 2107-2143 (2012)
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