JMLR Volume 13
- Distance Metric Learning with Eigenvalue Optimization
- Yiming Ying, Peng Li; 13(Jan):1−26, 2012.
[abs][pdf]
- Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
- Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luján; 13(Jan):27−66, 2012.
[abs][pdf]
- Plug-in Approach to Active Learning
- Stanislav Minsker; 13(Jan):67−90, 2012.
[abs][pdf]
- Refinement of Operator-valued Reproducing Kernels
- Haizhang Zhang, Yuesheng Xu, Qinghui Zhang; 13(Jan):91−136, 2012.
[abs][pdf]
- An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity
- Nir Ailon; 13(Jan):137−164, 2012.
[abs][pdf]
- Optimal Distributed Online Prediction Using Mini-Batches
- Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao; 13(Jan):165−202, 2012.
[abs][pdf]
- Active Clustering of Biological Sequences
- Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia; 13(Jan):203−225, 2012.
[abs][pdf]
- Multi Kernel Learning with Online-Batch Optimization
- Francesco Orabona, Luo Jie, Barbara Caputo; 13(Feb):227−253, 2012.
[abs][pdf]
- Active Learning via Perfect Selective Classification
- Ran El-Yaniv, Yair Wiener; 13(Feb):255−279, 2012.
[abs][pdf]
- Random Search for Hyper-Parameter Optimization
- James Bergstra, Yoshua Bengio; 13(Feb):281−305, 2012.
[abs][pdf]
- Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
- Michael U. Gutmann, Aapo Hyvärinen; 13(Feb):307−361, 2012.
[abs][pdf]
- Bounding the Probability of Error for High Precision Optical Character Recognition
- Gary B. Huang, Andrew Kae, Carl Doersch, Erik Learned-Miller; 13(Feb):363−387, 2012.
[abs][pdf]
- Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
- Garvesh Raskutti, Martin J. Wainwright, Bin Yu; 13(Feb):389−427, 2012.
[abs][pdf]
- Online Learning in the Embedded Manifold of Low-rank Matrices
- Uri Shalit, Daphna Weinshall, Gal Chechik; 13(Feb):429−458, 2012.
[abs][pdf]
- Multi-Assignment Clustering for Boolean Data
- Mario Frank, Andreas P. Streich, David Basin, Joachim M. Buhmann; 13(Feb):459−489, 2012.
[abs][pdf]
- Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks
- Vikas C. Raykar, Shipeng Yu; 13(Feb):491−518, 2012.
[abs][pdf]
- Metric and Kernel Learning Using a Linear Transformation
- Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon; 13(Mar):519−547, 2012.
[abs][pdf]
- MULTIBOOST: A Multi-purpose Boosting Package
- Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl; 13(Mar):549−553, 2012.
[abs][pdf] [code][mloss.org]
- ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel
- Stephen R. Piccolo, Lewis J. Frey; 13(Mar):555−559, 2012.
[abs][pdf] [code][sourceforge.net]
- A Primal-Dual Convergence Analysis of Boosting
- Matus Telgarsky; 13(Mar):561−606, 2012.
[abs][pdf]
- Non-Sparse Multiple Kernel Fisher Discriminant Analysis
- Fei Yan, Josef Kittler, Krystian Mikolajczyk, Atif Tahir; 13(Mar):607−642, 2012.
[abs][pdf]
- Learning Algorithms for the Classification Restricted Boltzmann Machine
- Hugo Larochelle, Michael Mandel, Razvan Pascanu, Yoshua Bengio; 13(Mar):643−669, 2012.
[abs][pdf]
- Structured Sparsity and Generalization
- Andreas Maurer, Massimiliano Pontil; 13(Mar):671−690, 2012.
[abs][pdf]
- A Case Study on Meta-Generalising: A Gaussian Processes Approach
- Grigorios Skolidis, Guido Sanguinetti; 13(Mar):691−721, 2012.
[abs][pdf]
- A Kernel Two-Sample Test
- Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola; 13(Mar):723−773, 2012.
[abs][pdf]
- GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
- Chiwoo Park, Jianhua Z. Huang, Yu Ding; 13(Mar):775−779, 2012.
[abs][pdf] [code][mloss.org]
- Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
- Rahul Mazumder, Trevor Hastie; 13(Mar):781−794, 2012.
[abs][pdf]
- Algorithms for Learning Kernels Based on Centered Alignment
- Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh; 13(Mar):795−828, 2012.
[abs][pdf]
- Causal Bounds and Observable Constraints for Non-deterministic Models
- Roland R. Ramsahai; 13(Mar):829−848, 2012.
[abs][pdf]
- NIMFA : A Python Library for Nonnegative Matrix Factorization
- Marinka Žitnik, Blaž Zupan; 13(Mar):849−853, 2012.
[abs][pdf] [code][mloss.org]
- Algebraic Geometric Comparison of Probability Distributions
- Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A.J. Blythe, Klaus-Robert Müller; 13(Mar):855−903, 2012.
[abs][pdf]
- Stability of Density-Based Clustering
- Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry Wasserman; 13(Apr):905−948, 2012.
[abs][pdf]
- Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
- Gil Tahan, Lior Rokach, Yuval Shahar; 13(Apr):949−979, 2012.
[abs][pdf]
- Sampling Methods for the Nyström Method
- Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar; 13(Apr):981−1006, 2012.
[abs][pdf]
- Positive Semidefinite Metric Learning Using Boosting-like Algorithms
- Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel; 13(Apr):1007−1036, 2012.
[abs][pdf]
- Consistent Model Selection Criteria on High Dimensions
- Yongdai Kim, Sunghoon Kwon, Hosik Choi; 13(Apr):1037−1057, 2012.
[abs][pdf]
- The huge Package for High-dimensional Undirected Graph Estimation in R
- Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman; 13(Apr):1059−1062, 2012.
[abs][pdf] [code][cran.r-project.org]
- Analysis of a Random Forests Model
- Gérard Biau; 13(Apr):1063−1095, 2012.
[abs][pdf]
- Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies
- Ioannis Tsamardinos, Sofia Triantafillou, Vincenzo Lagani; 13(Apr):1097−1157, 2012.
[abs][pdf]
- Hope and Fear for Discriminative Training of Statistical Translation Models
- David Chiang; 13(Apr):1159−1187, 2012.
[abs][pdf]
- A Multi-Stage Framework for Dantzig Selector and LASSO
- Ji Liu, Peter Wonka, Jieping Ye; 13(Apr):1189−1219, 2012.
[abs][pdf]
- A Geometric Approach to Sample Compression
- Benjamin I.P. Rubinstein, J. Hyam Rubinstein; 13(Apr):1221−1261, 2012.
[abs][pdf]
