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Journal of Machine Learning Research
Results: 283

#	Item
191	Journal of Machine Learning Research[removed]-* Submitted ; Published RESEARCH REPORT # [removed]Risk Management and Financial Engineering Lab Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-09-25 12:02:33 Statistical classification Linear algebra Support vector machines Stability Mathematical optimization Vector space Convex optimization Least squares support vector machine Algebra Mathematics Statistics
192	Automatically Assigning Research Methods to Journal Articles in the Domain of Social Sciences Judith Eckle-Kohler1,2, Tri-Duc Nghiem1, Iryna Gurevych1,2 Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer S Add to Reading List Source URL: www.asis.org Language: English - Date: 2014-07-19 18:51:51 Machine learning Information science Computational linguistics Natural language processing Data mining Classifier chains Scientific method Multi-label classification Content analysis Science Statistics Knowledge
193	Journal of Machine Learning Research[removed]Submitted 4/00; Published[removed]Likelihood and F-measure maximization under uncertainty Georgi Dimitroff Add to Reading List Source URL: www.ontotext.com Language: English - Date: 2014-08-19 16:38:16 Kullback–Leibler divergence Thermodynamics Weight Principle of maximum entropy Mean Exponential distribution Maximum spacing estimation Statistics Statistical theory Probability and statistics
194	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: www.cs.columbia.edu Language: English - Date: 2015-01-08 18:02:10 Tensors Matrix theory Data analysis Multilinear algebra Singular value decomposition Symmetric tensor Rank Homogeneous polynomial Covariance matrix Algebra Mathematics Linear algebra
195	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
196	Journal of Machine Learning Research[removed]773 Submitted 4/08; Revised 11/11; Published 3/12 A Kernel Two-Sample Test Arthur Gretton∗ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-26 13:39:43 Normal distribution Kolmogorov–Smirnov test V-statistic Variance Statistical hypothesis testing F-distribution Fourier transform Kullback–Leibler divergence Cumulative distribution function Statistics Statistical inference Fourier analysis
197	Journal of Machine Learning Research[removed]1187 Submitted 7/11; Revised 2/12; Published 4/12 Hope and Fear for Discriminative Training of Statistical Translation Models Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-04-27 19:42:48 Logic Normal distribution Structure Mathematics
198	Journal of Machine Learning Research[removed]–1653 Submitted 10/05; Published 7/06 Structured Prediction, Dual Extragradient and Bregman Projections Ben Taskar Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2006-07-07 16:03:04 Linear programming Dynamic programming Mathematical optimization Function Combinatory logic Markov random field Mathematics Operations research Applied mathematics
199	Journal of Machine Learning Research[removed]2734 Submitted 4/11; Revised 2/12; Published 9/12 Coherence Functions with Applications in Large-Margin Classification Methods Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-09-25 19:52:00 Distribution Functional analysis Mathematical notation Spectral theory of ordinary differential equations Symbol Mathematical analysis Generalized functions Mathematics
200	Journal of Machine Learning Research[removed]660 Submitted 8/09; Published 2/10 Why Does Unsupervised Pre-training Help Deep Learning? Dumitru Erhan∗ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-04 11:03:28 Neural networks Learning Computational neuroscience Computational linguistics Unsupervised learning Semi-supervised learning Supervised learning Linear classifier Regularization Machine learning Statistics Artificial intelligence

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