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Journal of Machine Learning Research
Results: 283

#	Item
181	Journal of Machine Learning Research[removed]2466 Submitted 7/07; Published[removed]The Need for Open Source Software in Machine Learning S¨oren Sonnenburg∗ Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2007-10-26 17:37:53 Computing Software licenses Machine learning Free software licenses Open access journals Journal of Machine Learning Research Open-source software Proprietary software Open source Methodology Free software Computer law
182	Journal of Machine Learning Research[removed]1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2010-05-06 01:28:07 Operator theory Generalized functions Hilbert space Functional analysis Dirac delta function Kullback–Leibler divergence Reproducing kernel Hilbert space Distribution Continuous function Mathematical analysis Mathematics Fourier analysis
183	Journal of Machine Learning Research[removed]2801 Submitted 1/08; Revised 9/08; Published[removed]Robust Submodular Observation Selection Andreas Krause Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Computational complexity theory Submodular set function Matroid theory Greedy algorithm Algorithm Optimization problem Selection algorithm Time complexity Reduction Theoretical computer science Mathematics Applied mathematics
184	Journal of Machine Learning Research[removed]1070 Submitted 5/08; Revised 3/09; Published 5/09 Fourier Theoretic Probabilistic Inference over Permutations Jonathan Huang Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Permutations Integral transforms Group theory Combinatorics Parity of a permutation Fourier transform Fourier series Determinant Representation theory Mathematics Algebra Joseph Fourier
185	Journal of Machine Learning Research[removed]1144 Submitted 6/09; Published 3/10 SFO: A Toolbox for Submodular Function Optimization Andreas Krause Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-03-17 15:18:36 Operations research Supermodular function Convex optimization Optimization problem San Francisco International Airport Mathematical optimization Submodular set function Order theory
186	Journal of Machine Learning Research[removed]–585 Submitted 5/05; Published 3/06 Online Passive-Aggressive Algorithms Koby Crammer∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2006-03-26 19:07:12 Perceptron Algorithm Support vector machine Statistics Statistical classification Margin classifier
187	Journal of Machine Learning Research[removed]1261 Submitted 10/10; Revised 2/11; Published 4/11 Learning from Partial Labels Timothee Cour Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:56 Artificial intelligence Support vector machine Semi-supervised learning Function Supervised learning Convex optimization Machine learning Mathematics Statistics
188	Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2012, Article ID[removed], 19 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-05-08 04:33:34 Data mining Geostatistics Machine learning Hierarchical clustering Online analytical processing Statistics Cluster analysis Data analysis
189	Journal of Machine Learning Research[removed]1828 Submitted 6/08; Revised 2/09; Published 8/09 Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2009-08-24 20:16:36 Topic model Mixture model Dirichlet process Linear discriminant analysis Gibbs sampling Parallel computing Dirichlet distribution Algorithm Multi-core processor Statistics Statistical natural language processing Latent Dirichlet allocation
190	Journal of Machine Learning Research[removed]1042 Submitted 12/08; Revised 8/09; Published 2/10 Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-03-01 12:19:54 Alfred North Whitehead Tensor product of graphs Adjacency matrix Graph Random graph Degree distribution Kronecker product Centrality Graph theory Mathematics Algebraic graph theory

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