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Journal of Machine Learning Research
Results: 283

#	Item
141	Journal of Machine Learning Research[removed]2113 Submitted 2/10; Revised 4/10; Published 8/10 Model-based Boosting 2.0 Torsten Hothorn Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-18 16:38:50 Additive model Boosting Least squares Quantile regression Gradient boosting Statistics Regression analysis Logistic regression
142	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.jmlr.org Language: English - Date: 2008-08-28 16:04:54 Regression analysis Learning Logistic regression Machine learning Statistics Statistical classification Support vector machine
143	Journal of Machine Learning Research[removed]2055 Submitted 3/10; Revised 6/10; Published 7/10 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-09 11:24:21 Numerical analysis Design of experiments Surrogate model Mathematics Computational neuroscience Operations research Science Mathematical optimization Applied mathematics
144	Journal of Machine Learning Research[removed]2414 Submitted 8/09; Revised 7/10; Published 7/11 M ULAN: A Java Library for Multi-Label Learning Grigorios Tsoumakas Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-28 11:36:55 Cybernetics Search algorithms Formal sciences Data analysis Multi-label classification Weka K-nearest neighbor algorithm Data mining Statistical classification Statistics Machine learning Artificial intelligence
145	Journal of Machine Learning Research[removed]2173 Submitted 2/10; Revised 8/10; Published 8/10 libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-23 18:11:12 Mathematics Belief propagation Factor graph Bayesian network Markov random field Conditional random field Gibbs sampling Expectation–maximization algorithm Tree decomposition Graphical models Graph theory Statistics
146	Journal of Machine Learning Research[removed]1390 Submitted 8/08; Revised 2/09; Published 7/09 Model Monitor (M 2 ): Evaluating, Comparing, and Monitoring Models Troy Raeder Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-07-09 19:33:12 Weka Binary classification AdaBoost Random subspace method Statistics Machine learning Statistical classification
147	Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-03-26 17:45:20 Econometrics Perceptron Backpropagation Support vector machine Supervised learning Stochastic gradient descent Loss function Regression analysis Multilayer perceptron Statistics Machine learning Neural networks
148	Journal of Machine Learning Research[removed]162 Submitted 6/08; Revised 10/08; Published 2/09 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-02-17 18:30:20 Array programming languages Motorola PEBL Statistical models Bayesian statistics Scripting languages Dynamic Bayesian network Bayesian network SciPy NumPy Software Computing Science
149	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: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 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
150	Journal of Machine Learning Research[removed]2136 Submitted 3/09; Published 9/09 RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-09-28 19:33:03 Artificial intelligence Learning Computational statistics Reinforcement learning RL Machine learning

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