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Journal of Machine Learning Research
Results: 283

#	Item
101	Journal of Machine Learning Research[removed]1892 Submitted 12/10; Revised 5/11; Published 6/11 Stochastic Methods for ℓ1 -regularized Loss Minimization Shai Shalev-Shwartz Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-10 17:21:39 Stochastic optimization Stochastic gradient descent Statistics
102	Journal of Machine Learning Research[removed]606 Submitted 7/11; Revised 11/11; Published 3/12 A Primal-Dual Convergence Analysis of Boosting Matus Telgarsky Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-03-17 14:23:46 Ensemble learning AdaBoost Boosting
103	Journal of Machine Learning Research V (YYYY) PP-PP Submitted X/14; Published XX/XX Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-27 10:30:54 Decision theory Pairwise comparison Approval voting Structure Preference Utility Mathematics Logic Psychometrics Single winner electoral systems Model theory
104	Journal of Machine Learning Research[removed]1322 Submitted 9/09; Revised 2/10; Published 4/10 Learning From Crowds Vikas C. Raykar Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-04-07 15:50:44 Expectation–maximization algorithm Beta distribution Statistics Estimation theory Maximum likelihood
105	Journal of Machine Learning Research[removed]2637 Submitted 2/09; Revised 8/09; Published[removed]Hash Kernels for Structured Data Qinfeng Shi Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2009-11-30 20:25:37 Mathematics Search algorithms Hilbert space Physics Error detection and correction Hash function Positive-definite kernel Reproducing kernel Hilbert space Bloom filter Mathematical analysis Hashing Operator theory
106	Journal of Machine Learning Research[removed]1347 Submitted 6/12; Published 5/13 Stochastic Variational Inference Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Econometrics Statistical models Expectation–maximization algorithm Mixture model Markov chain Linear regression Latent Dirichlet allocation Regression analysis Statistics Bayesian statistics Markov models
107	Journal of Machine Learning Research[removed]1031 Submitted 9/12; Revised 1/13; Published 4/13 Variational Inference in Nonconjugate Models Chong Wang Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Gamma distribution Conjugate prior Exponential family Marginal likelihood Delta method Sufficient statistic Kullback–Leibler divergence Expectation–maximization algorithm Statistics Statistical theory Bayesian statistics
108	Journal of Machine Learning Research[removed]2832 Submitted 2/13; Revised 3/14; Published 8/14 Tensor Decompositions for Learning Latent Variable Models Animashree Anandkumar Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2014-10-04 14:56:37 Tensors Matrix theory Data analysis Multilinear algebra Singular value decomposition Symmetric tensor Rank Homogeneous polynomial Covariance matrix Algebra Mathematics Linear algebra
109	Journal of Machine Learning Research[removed]1874 Submitted 5/08; Published 8/08 LIBLINEAR: A Library for Large Linear Classification Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2014-08-23 10:37:47 Statistical classification Linear algebra Support vector machines Vector space Algebra Mathematics Statistics
110	Journal of Machine Learning Research[removed]1891 Submitted 2/06; Revised 1/07; Published 8/07 Large Margin Semi-supervised Learning Junhui Wang Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2007-08-17 18:32:44 Learning Support vector machine Semi-supervised learning Machine learning Statistical classification Supervised learning

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