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Hidden Markov models
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#	Item
661	Discriminative Keyword Spotting Joseph Keshet a,1,∗ , David Grangier a , Samy Bengio a,2 a IDIAP Research Institute, Rue du Simplon 4, CH-1920 Martigny, Switzerland Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:48 Vectors Abstract algebra Linear algebra Computer accessibility Speech recognition Keyword spotting Support vector machine Hidden Markov model Function Mathematics Algebra Markov models
662	Fast State Discovery for HMM Model Selection and Learning Sajid M. Siddiqi Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-02-13 15:31:33 Machine learning Dynamic programming Bioinformatics Hidden Markov model Viterbi algorithm Expectation–maximization algorithm Speech recognition Symposium on Theoretical Aspects of Computer Science Forward–backward algorithm Statistics Markov models Error detection and correction
663	Conditional Random Fields for Activity Recognition Douglas L. Vail CMU-CS[removed]April, 2008 Add to Reading List Source URL: reports-archive.adm.cs.cmu.edu Language: English - Date: 2008-05-15 20:18:22 Artificial intelligence Applied mathematics Graphical models Conditional random field Activity recognition Supervised learning Hidden Markov model Algorithm Estimation theory Statistics Machine learning Theoretical computer science
664	Closing the Learning-Planning Loop with Predictive State Representations Byron Boots Sajid M. Siddiqi Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-06-07 10:41:26 Dynamic programming Estimation theory Expectation–maximization algorithm Missing data Hidden Markov model Markov decision process Machine learning Markov chain Statistics Markov models Markov processes
665	Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time Purnamrita Sarkar Sajid M. Siddiqi Geoffrey J. Gordon School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-15 20:59:41 Robot control Multivariate statistics Linear filters Control theory Kalman filter Normal distribution Kullback–Leibler divergence Hidden Markov model Embedding Statistics Mathematics Markov models
666	AUTOMATIC STATE DISCOVERY FOR UNSTRUCTURED AUDIO SCENE CLASSIFICATION Julian Ramos, Sajid Siddiqi, Artur Dubrawski, Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-01-08 13:03:17 Hidden Markov model Viterbi algorithm Speech recognition Expectation–maximization algorithm Symposium on Theoretical Aspects of Computer Science Supervised learning Segmentation Algorithm Statistics Markov models Machine learning
667	Hilbert Space Embeddings of Hidden Markov Models Le Song [removed] Byron Boots [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-05 10:06:39 Linear algebra Markov models Operator theory Bioinformatics Hidden Markov model Normal distribution Expectation–maximization algorithm Kernel density estimation Singular value decomposition Mathematics Mathematical analysis Algebra
668	Online Spectral Identification of Dynamical Systems Geoff Gordon Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-08-31 11:15:39 Matrix theory Markov models Hidden Markov model Kalman filter Singular value decomposition Matrix Dynamical system Predictive state representation Machine learning Algebra Mathematics Linear algebra
669	R E P O R T R E S E A R C H Learning the Inter-frame Distance for Discriminative Template-based Keyword Add to Reading List Source URL: david.grangier.info Language: English - Date: 2010-12-15 14:11:15 Markov models Computing Keyword spotting Speech recognition Hidden Markov model Idiap Research Institute Keyword Receiver operating characteristic Statistics Computational linguistics Science
670	Individualized Bayesian Knowledge Tracing Models Michael V. Yudelson, Kenneth R. Koedinger, and Geoffrey J. Gordon Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213, USA {yudelson,koedinger}@cmu.edu,ggor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-05-07 10:11:29 Statistical theory Statistical methods Estimation theory Expectation–maximization algorithm Hidden Markov model Item response theory Regression analysis Bayesian inference Parameter Statistics Bayesian statistics Statistical models