- Sangkyun Lee, Stephen J. Wright:
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning. J. Mach. Learn. Res. 13: 1705-1744 (2012) - Daniel J. Lizotte, Michael Bowling, Susan A. Murphy:
Linear fitted-Q iteration with multiple reward functions. J. Mach. Learn. Res. 13: 3253-3295 (2012) - Yui Man Lui:
Human gesture recognition on product manifolds. J. Mach. Learn. Res. 13: 3297-3321 (2012) - Daniel Le Ly, Hod Lipson:
Learning symbolic representations of hybrid dynamical systems. J. Mach. Learn. Res. 13: 3585-3618 (2012) - Mehrdad Mahdavi, Rong Jin, Tianbao Yang:
Trading regret for efficiency: online convex optimization with long term constraints. J. Mach. Learn. Res. 13: 2503-2528 (2012) - Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi:
A local spectral method for graphs: with applications to improving graph partitions and exploring data graphs locally. J. Mach. Learn. Res. 13: 2339-2365 (2012) - Odalric-Ambrym Maillard, Rémi Munos:
Linear regression with random projections. J. Mach. Learn. Res. 13: 2735-2772 (2012) - Aleix M. Martínez, Shichuan Du:
A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives. J. Mach. Learn. Res. 13: 1589-1608 (2012) - Andreas Maurer, Massimiliano Pontil:
Structured Sparsity and Generalization. J. Mach. Learn. Res. 13: 671-690 (2012) - Benedict C. May, Nathan Korda, Anthony Lee, David S. Leslie:
Optimistic Bayesian Sampling in Contextual-Bandit Problems. J. Mach. Learn. Res. 13: 2069-2106 (2012) - Rahul Mazumder, Trevor Hastie:
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso. J. Mach. Learn. Res. 13: 781-794 (2012) - Stanislav Minsker:
Plug-in Approach to Active Learning. J. Mach. Learn. Res. 13: 67-90 (2012) - Karthik Mohan, Maryam Fazel:
Iterative reweighted algorithms for matrix rank minimization. J. Mach. Learn. Res. 13: 3441-3473 (2012) - Sunita Nayak, Kester Duncan, Sudeep Sarkar, Barbara L. Loeding:
Finding recurrent patterns from continuous sign language sentences for automated extraction of signs. J. Mach. Learn. Res. 13: 2589-2615 (2012) - Sahand N. Negahban, Martin J. Wainwright:
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise. J. Mach. Learn. Res. 13: 1665-1697 (2012) - Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar:
Query Strategies for Evading Convex-Inducing Classifiers. J. Mach. Learn. Res. 13: 1293-1332 (2012) - Hannes Nickisch:
glm-ie: Generalised Linear Models Inference & Estimation Toolbox. J. Mach. Learn. Res. 13: 1699-1703 (2012) - Francesco Orabona, Jie Luo, Barbara Caputo:
Multi Kernel Learning with Online-Batch Optimization. J. Mach. Learn. Res. 13: 227-253 (2012) - Chiwoo Park, Jianhua Z. Huang, Yu Ding:
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. J. Mach. Learn. Res. 13: 775-779 (2012) - Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun:
PAC-bayes bounds with data dependent priors. J. Mach. Learn. Res. 13: 3507-3531 (2012) - Stephen R. Piccolo, Lewis J. Frey:
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel. J. Mach. Learn. Res. 13: 555-559 (2012) - Zhiwei (Tony) Qin, Donald Goldfarb:
Structured Sparsity via Alternating Direction Methods. J. Mach. Learn. Res. 13: 1435-1468 (2012) - Roland R. Ramsahai:
Causal Bounds and Observable Constraints for Non-deterministic Models. J. Mach. Learn. Res. 13: 829-848 (2012) - Garvesh Raskutti, Martin J. Wainwright, Bin Yu:
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming. J. Mach. Learn. Res. 13: 389-427 (2012) - Vikas C. Raykar, Shipeng Yu:
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks. J. Mach. Learn. Res. 13: 491-518 (2012) - Wojciech Rejchel:
On Ranking and Generalization Bounds. J. Mach. Learn. Res. 13: 1373-1392 (2012) - Konrad Rieck, Christian Wressnegger, Alexander Bikadorov:
Sally: a tool for embedding strings in vector spaces. J. Mach. Learn. Res. 13: 3247-3251 (2012) - Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry A. Wasserman:
Stability of density-based clustering. J. Mach. Learn. Res. 13: 905-948 (2012) - Benjamin I. P. Rubinstein, J. Hyam Rubinstein:
A Geometric Approach to Sample Compression. J. Mach. Learn. Res. 13: 1221-1261 (2012) - Sivan Sabato, Naftali Tishby:
Multi-instance learning with any hypothesis class. J. Mach. Learn. Res. 13: 2999-3039 (2012)