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Online machine learning
Results: 210

#	Item
161	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models
162	Proc. of IEEE 3rd Intl. Conf. on Biometrics: Theory, Applications and Systems (BTAS 09), Washington DC, September[removed]Online Learning in Biometrics: A Case Study in Face Classifier Update Richa Singh, Mayank Vatsa, Aru Add to Reading List Source URL: clarkson.edu Language: English - Date: 2013-03-22 14:25:36 Machine learning Learning Support vector machine Biometrics Ranking SVM Boosting methods for object categorization Statistics Artificial intelligence Statistical classification
163	Online Estimation of Discrete Densities Michael Geilke∗ , Eibe Frank† , Andreas Karwath∗ and Stefan Kramer∗ ∗ † Add to Reading List Source URL: www.cms.waikato.ac.nz Language: English - Date: 2013-10-21 20:47:45 Machine learning Statistical inference Statistical classification Classifier chains Estimator Maximum likelihood Kernel density estimation Bayes estimator Kullback–Leibler divergence Statistics Estimation theory Statistical theory
164	Online Pose Classification and Walking Speed Estimation using Handheld Devices Jonathan Ledlie Nokia Research Center Cambridge, MA, USA [removed] Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-09-11 15:18:40 Statistics Accelerometer Pose Support vector machine Supervised learning Pattern recognition Statistical classification Discrete Fourier transform Fast Fourier transform Machine learning Mathematical analysis Artificial intelligence
165	Towards Minimax Online Learning with Unknown Time Horizon Haipeng Luo Department of Computer Science, Princeton University, Princeton, NJ[removed]HAIPENGL @ CS . PRINCETON . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Statistics Minimax Loss function Regret Adversary model Machine learning Algorithm Minimax estimator Decision theory Mathematics Applied mathematics
166	A Fast Online Algorithm for Large Margin Training of Continuous Density Hidden Markov Models Chih-Chieh Cheng1 , Fei Sha2 , Lawrence K. Saul1 1 Department of Computer Science and Engineering, University of California, S Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Speech recognition Hidden Markov model Viterbi algorithm Expectation–maximization algorithm Perceptron Markov chain Statistics Markov models Machine learning
167	A Discriminative Latent Variable Model for Online Clustering Rajhans Samdani, Google Research Kai-Wei Chang, University of Illinois Dan Roth, University of Illinois Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Data analysis Data mining Geostatistics Correlation clustering Expectation–maximization algorithm Document clustering Machine learning Statistics Multivariate statistics Cluster analysis
168	926 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 4, NO. 6, DECEMBER 2010 Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Machine learning Estimation theory Statistical models Computer accessibility Speech recognition Hidden Markov model Expectation–maximization algorithm Perceptron Generative model Statistics Markov models Probability and statistics
169	Thompson Sampling for Complex Online Problems Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Econometrics Statistical inference Machine learning Confidence interval Multi-armed bandit Thompson sampling Reinforcement learning Bayes estimator Dimensional analysis Statistics Measurement Estimation theory
170	Online Pose Classification and Walking Speed Estimation using Handheld Devices Jun-geun Park MIT CSAIL Joint work with: Ami Patel (MIT EECS), Jonathan Ledlie (Nokia Research), Dorothy Curtis (MIT CSAIL), Seth Teller (MIT Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-09-11 14:53:50 Technology Linux-based devices Mobile computers Smartphones Statistical classification Nokia N900 Support vector machine Pose Accelerometer Statistics Machine learning Artificial intelligence

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