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Markov models
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#	Item
981	Learning Complex and Sparse Events in Long Sequences Marco Botta1 and Ugo Galassi 2 and Attilio Giordana 3 Abstract. The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex pattern Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2005-09-14 02:53:00 Bioinformatics Probability and statistics Hierarchical hidden Markov model Hidden Markov model Viterbi algorithm Sequence alignment Speech recognition Baum–Welch algorithm Pattern recognition Markov models Statistics Science
982	Modeling Time Series Hidden Markov Models Boaz Nadler The Weizmann Institute of Science Jan. 2015 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-23 04:28:13 Bioinformatics Hidden Markov model Markov processes Independent and identically distributed random variables Time series Stochastic process Statistics Statistical models Markov models
983	Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2009-07-14 20:11:06 Data mining Wireless networking Wireless sensor network Bayesian network Conditional random field Causality Markov chain Anomaly detection Statistics Graphical models Networks
984	Approximate Counting and Markov Chain Monte Carlo A Randomized Approach Arindam Pal Department of Computer Science and Engineering Indian Institute of Technology Delhi Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2011-04-08 01:08:14 Markov models Complexity classes Computational statistics Monte Carlo methods Approximation algorithms Markov chain Monte Carlo Markov chain Polynomial-time approximation scheme Random walk Statistics Theoretical computer science Computational complexity theory
985	Transfer Learning for Activity Recognition via Sensor Mapping Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2011-07-20 09:20:43 Activity recognition Cognition Learning Supervised learning Algorithm Reinforcement learning Wireless sensor network Hidden Markov model Markov models Artificial intelligence Science
986	Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking Emily B. Fox David S. Choi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:48 Markov models Dirichlet process Mixture model Dirichlet distribution Markov chain Concentration parameter Gibbs sampling Poisson distribution Bayesian inference Statistics Stochastic processes Bayesian statistics
987	Anti-differentiating approximation algorithms: A case study with min-cuts, spectral, and flow David F. Gleich Computer Science, Purdue University, West Lafayette, IN 47906 Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-06-23 23:57:52 Link analysis Markov models Operations research PageRank Reputation management Search engine optimization Cut Shortest path problem Belief propagation Mathematics Theoretical computer science Applied mathematics
988	Markov Determinantal Point Processes Raja Hafiz Affandi Alex Kulesza Emily B. Fox Department of Statistics Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:54 Robot control Cybernetics Systems theory Statistics Markov models Control theory Kalman filter
989	Incremental Construction of Structured Hidden Markov Models Hidden Markov Model, Sequence Analysis, Data Mining Abstract This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from Add to Reading List Source URL: www.ugogalassi.net Language: English - Date: 2006-06-29 20:22:04 Bioinformatics Probability and statistics Error detection and correction Dynamic programming Hidden Markov model Hierarchical hidden Markov model Markov chain Speech recognition Viterbi algorithm Statistics Markov models Machine learning
990	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic