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