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Publication search results
found 17 matches
- 2015
- Karthik Devarajan, Guoli Wang, Nader Ebrahimi:
A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. Mach. Learn. 99(1): 137-163 (2015) - Robert J. Durrant, Ata Kabán:
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions. Mach. Learn. 99(2): 257-286 (2015) - José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez:
Expectation propagation in linear regression models with spike-and-slab priors. Mach. Learn. 99(3): 437-487 (2015) - Hemant Ishwaran:
The effect of splitting on random forests. Mach. Learn. 99(1): 75-118 (2015) - Angelika Kimmig, Lilyana Mihalkova, Lise Getoor:
Lifted graphical models: a survey. Mach. Learn. 99(1): 1-45 (2015) - Tam Le, Marco Cuturi:
Adaptive Euclidean maps for histograms: generalized Aitchison embeddings. Mach. Learn. 99(2): 169-187 (2015) - Néhémy Lim, Florence d'Alché-Buc, Cédric Auliac, George Michailidis:
Operator-valued kernel-based vector autoregressive models for network inference. Mach. Learn. 99(3): 489-513 (2015) - Zhouchen Lin, Risheng Liu, Huan Li:
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. Mach. Learn. 99(2): 287-325 (2015) - Ugo Louche, Liva Ralaivola:
Unconfused ultraconservative multiclass algorithms. Mach. Learn. 99(2): 327-351 (2015) - Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb:
Introduction: special issue of selected papers of ACML 2013. Mach. Learn. 99(2): 165-167 (2015) - Francesco Orabona, Koby Crammer, Nicolò Cesa-Bianchi:
A generalized online mirror descent with applications to classification and regression. Mach. Learn. 99(3): 411-435 (2015) - Jaakko Peltonen, Ziyuan Lin:
Information retrieval approach to meta-visualization. Mach. Learn. 99(2): 189-229 (2015) - Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu:
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. 99(3): 353-372 (2015) - Andreas P. Streich, Joachim M. Buhmann:
Asymptotic analysis of estimators on multi-label data. Mach. Learn. 99(3): 373-409 (2015) - Hongyu Su, Juho Rousu:
Multilabel classification through random graph ensembles. Mach. Learn. 99(2): 231-256 (2015) - Kazuho Watanabe, Shiro Ikeda:
Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. 99(1): 119-136 (2015) - Indre Zliobaite, Jaakko Hollmén:
Optimizing regression models for data streams with missing values. Mach. Learn. 99(1): 47-73 (2015)
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