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Journal of Machine Learning Research
Results: 283

#	Item
211	Journal of Machine Learning Research[removed]–732 Submitted 7/05; Revised 12/05; Published 5/06 Some Theory for Generalized Boosting Algorithms Peter J. Bickel Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2007-07-25 07:21:45 Linear algebra Vector space Vectors Normal distribution Algebra Mathematics Group theory
212	Journal of Machine Learning Research[removed]1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-07-26 23:05:09 Learning Artificial intelligence Early stopping Backpropagation Supervised learning Regularization Overfitting Boltzmann machine Generalization error Neural networks Machine learning Statistics
213	Journal of Machine Learning Research[removed]654 Submitted 3/13; Revised 9/13; Published 2/14 Random Intersection Trees Rajen Dinesh Shah Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2014-02-24 23:38:32 Ensemble learning Random forest Decision tree model R-tree Connectivity Applied mathematics Mathematics Decomposition method Decision trees Theoretical computer science Computational complexity theory
214	Journal of Machine Learning Research[removed] Published 2/08 Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131–156, 2008: And Yet It Overfits Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:28:48 Boosting Statistical classification Classification rule Artificial neuron Boosting methods for object categorization Margin classifier Machine learning Ensemble learning AdaBoost
215	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.princeton.edu Language: English - Date: 2013-06-14 05:31:44 Estimation theory Econometrics Statistical models Expectation–maximization algorithm Mixture model Markov chain Linear regression Latent Dirichlet allocation Regression analysis Statistics Bayesian statistics Markov models
216	Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2013-02-16 21:04:48 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models
217	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.princeton.edu Language: English - Date: 2013-06-14 05:31:44 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
218	Journal of Machine Learning Research[removed]3232 Submitted 9/12; Revised 7/13; Published[removed]Fast MCMC Sampling for Markov Jump Processes and Extensions Vinayak Rao∗ Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Markov chain Continuous-time Markov process Poisson process Uniformization Hidden Markov model Markov property Gibbs sampling Stochastic process Stochastic matrix Statistics Markov processes Markov models
219	Journal of Machine Learning Research[removed]2769 Submitted 3/06; Revised 9/06; Published[removed]On Inferring Application Protocol Behaviors in Encrypted Network Traffic Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2006-12-17 15:20:08 Internet protocols Internet standards Data transmission Computer network security Data security Transmission Control Protocol Firewall Sliding window protocol Port Computing Data Network architecture
220	Journal of Machine Learning Research[removed]Submitted 09/08; Published[removed]Stability Bounds for Stationary ϕ-mixing and β-mixing Processes Mehryar Mohri Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-10-12 16:47:09 Mixing Rademacher complexity Statistics Learning Stability

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