Search results for "Journal of Machine Learning Research"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao	Optimal Distributed Online Prediction Using Mini-Batches.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muhammad Atif Tahir	Non-Sparse Multiple Kernel Fisher Discriminant Analysis.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert Müller	Algebraic Geometric Comparison of Probability Distributions.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Ran El-Yaniv, Yair Wiener	Active Learning via Perfect Selective Classification.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Marinka Zitnik, Blaz Zupan	NIMFA: A Python Library for Nonnegative Matrix Factorization.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Rahul Mazumder, Trevor Hastie	Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Nir Ailon	An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luján	Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Grigorios Skolidis, Guido Sanguinetti	A Case Study on Meta-Generalising: A Gaussian Processes Approach.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio	Learning Algorithms for the Classification Restricted Boltzmann Machine.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Stanislav Minsker	Plug-in Approach to Active Learning.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Chiwoo Park, Jianhua Z. Huang, Yu Ding	GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Vikas C. Raykar, Shipeng Yu	Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Matus Telgarsky	A Primal-Dual Convergence Analysis of Boosting.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Uri Shalit, Daphna Weinshall, Gal Chechik	Online Learning in the Embedded Manifold of Low-rank Matrices.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl	MULTIBOOST: A Multi-purpose Boosting Package.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	James Bergstra, Yoshua Bengio	Random Search for Hyper-Parameter Optimization.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller	Bounding the Probability of Error for High Precision Optical Character Recognition.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Yiming Ying, Peng Li	Distance Metric Learning with Eigenvalue Optimization.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	A Kernel Two-Sample Test.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh	Algorithms for Learning Kernels Based on Centered Alignment.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Francesco Orabona, Jie Luo, Barbara Caputo	Multi Kernel Learning with Online-Batch Optimization.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Garvesh Raskutti, Martin J. Wainwright, Bin Yu	Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon	Metric and Kernel Learning Using a Linear Transformation.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Roland Ramsahai	Causal Bounds and Observable Constraints for Non-deterministic Models.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Haizhang Zhang, Yuesheng Xu, Qinghui Zhang	Refinement of Operator-valued Reproducing Kernels.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Andreas Maurer, Massimiliano Pontil	Structured Sparsity and Generalization.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia	Active Clustering of Biological Sequences.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann	Multi-Assignment Clustering for Boolean Data.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Stephen R. Piccolo, Lewis J. Frey	ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Michael Gutmann, Aapo Hyvärinen	Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Dorota Glowacka, John Shawe-Taylor, Alex Clark, Colin de la Higuera, Mark Johnson	Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Vladimir V. V'yugin	Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Julian John McAuley, Tibério S. Caetano	Faster Algorithms for Max-Product Message-Passing.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Sankaran Raman	Variable Sparsity Kernel Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Elias Zavitsanos, Georgios Paliouras, George A. Vouros	Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky	Learning Latent Tree Graphical Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Lauren Hannah, David M. Blei, Warren B. Powell	Dirichlet Process Mixtures of Generalized Linear Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Benjamin Recht	A Simpler Approach to Matrix Completion.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Vianney Perchet	Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	David M. Blei, Peter Frazier	Distance Dependent Chinese Restaurant Processes.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre	Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Adam D. Bull	Convergence Rates of Efficient Global Optimization Algorithms.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John D. Lafferty, Larry A. Wasserman	Forest Density Estimation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu	Adaptive Exact Inference in Graphical Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Shinichi Nakajima, Masashi Sugiyama	Theoretical Analysis of Bayesian Matrix Factorization.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Mauricio A. Álvarez, Neil D. Lawrence	Computationally Efficient Convolved Multiple Output Gaussian Processes.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Zeeshan Syed, John V. Guttag	Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Thomas L. Griffiths, Zoubin Ghahramani	The Indian Buffet Process: An Introduction and Review.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari	Robust Gaussian Process Regression with a Student-t Likelihood.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein	The Sample Complexity of Dictionary Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári	X-Armed Bandits.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Lars Omlor, Martin A. Giese	Anechoic Blind Source Separation Using Wigner Marginals.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Brian McFee, Gert R. G. Lanckriet	Learning Multi-modal Similarity.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki	Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan	Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Marek Petrik, Shlomo Zilberstein	Robust Approximate Bilinear Programming for Value Function Approximation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Ruby C. Weng, Chih-Jen Lin	A Bayesian Approximation Method for Online Ranking.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Fabien Lauer, Yann Guermeur	MSVMpack: A Multi-Class Support Vector Machine Package.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Timothée Cour, Benjamin Sapp, Ben Taskar	Learning from Partial Labels.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay	Scikit-learn: Machine Learning in Python.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Antti Ukkonen	Clustering Algorithms for Chains.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii	Generalized TD Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lillian Muñiz-Alvarez	Group Lasso Estimation of High-dimensional Covariance Matrices.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky	Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen	DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa	Natural Language Processing (Almost) from Scratch.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Wei Wu, Jun Xu, Hang Li, Satoshi Oyama	Learning a Robust Relevance Model for Search Using Kernel Methods.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Zhihua Zhang, Guang Dai, Michael I. Jordan	Bayesian Generalized Kernel Mixed Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao	Bayesian Co-Training.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Jozef Vilcek, Ioannis P. Vlahavas	MULAN: A Java Library for Multi-Label Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Seyda Ertekin, Cynthia Rudin	On Equivalence Relationships Between Classification and Ranking Algorithms.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Ryan Lichtenwalter, Nitesh V. Chawla	LPmade: Link Prediction Made Easy.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Elad Hazan, Satyen Kale	Better Algorithms for Benign Bandits.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Jaedeug Choi, Kee-Eung Kim	Inverse Reinforcement Learning in Partially Observable Environments.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Bruno Pelletier, Pierre Pudlo	Operator Norm Convergence of Spectral Clustering on Level Sets.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis	Two Distributed-State Models For Generating High-Dimensional Time Series.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Yoshinori Tamada, Seiya Imoto, Satoru Miyano	Parallel Algorithm for Learning Optimal Bayesian Network Structure.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller	Kernel Analysis of Deep Networks.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate	Differentially Private Empirical Risk Minimization.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Junzhou Huang, Tong Zhang 0001, Dimitris N. Metaxas	Learning with Structured Sparsity.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta	The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Benoît Patra	Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Shai Shalev-Shwartz, Ambuj Tewari	Stochastic Methods for l1-regularized Loss Minimization.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Botond Cseke, Tom Heskes	Approximate Marginals in Latent Gaussian Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Peilin Zhao, Steven C. H. Hoi, Rong Jin	Double Updating Online Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Jim C. Huang, Brendan J. Frey	Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama	Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar	Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Amarnag Subramanya, Jeff Bilmes	Semi-Supervised Learning with Measure Propagation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng	A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Stefano Melacci, Mikhail Belkin	Laplacian Support Vector Machines Trained in the Primal.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	John C. Duchi, Elad Hazan, Yoram Singer	Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Huixin Wang, Xiaotong Shen, Wei Pan	Large Margin Hierarchical Classification with Mutually Exclusive Class Membership.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco Wiering	Exploiting Best-Match Equations for Efficient Reinforcement Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor	Kernel Regression in the Presence of Correlated Errors.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis Bach	Proximal Methods for Hierarchical Sparse Coding.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Ashwin Srinivasan, Ganesh Ramakrishnan	Parameter Screening and Optimisation for ILP using Designed Experiments.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Tony Jebara	Multitask Sparsity via Maximum Entropy Discrimination.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar	Posterior Sparsity in Unsupervised Dependency Parsing.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF

Publications at "Journal of Machine Learning Research"( http://dblp.L3S.de/Venues/Journal_of_Machine_Learning_Research )