Markov models

Results: 2603



#Item
571Probability and statistics / Markov models / Operations research / Queueing theory / Queueing model / Throughput / Scheduling / Lyapunov stability / Backpressure Routing / Statistics / Stochastic processes / Network performance

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 54, NO. 3, MARCHIntelligent Packet Dropping for Optimal Energy-Delay Tradeoffs in Wireless Downlinks

Add to Reading List

Source URL: www.webbooks.net

Language: English - Date: 2011-01-12 14:31:25
572Statistical inference / Markov models / Geolocation / Statistical theory / Probability / Localization / Statistical hypothesis testing / Prior probability / Kalman filter / Statistics / Technology / Bayesian statistics

Robotics-Based Location Sensing using Wireless Ethernet Andrew M. Ladd Kostas E. Bekris Algis Rudys

Add to Reading List

Source URL: gmarceau.qc.ca

Language: English - Date: 2008-03-12 13:57:44
573Probability and statistics / Machine learning / Conditional random field / Theoretical computer science / Markov chain / Hidden Markov model / Bayesian network / Statistics / Markov models / Graphical models

Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye

Add to Reading List

Source URL: www.comp.nus.edu.sg

Language: English - Date: 2013-03-09 06:31:30
574Theoretical computer science / Statistics / Learning / Applied mathematics / Hidden Markov model / Sequence labeling / Machine learning / Markov models / Conditional random field

Semi-Markov Conditional Random Field with High-Order Features Viet Cuong Nguyen Nan Ye Wee Sun Lee National University of Singapore

Add to Reading List

Source URL: www.comp.nus.edu.sg

Language: English - Date: 2013-03-09 06:33:11
575Probability theory / Statistical theory / Graphical models / Bayesian statistics / Machine learning / Conditional random field / Hidden Markov model / Markov random field / Information theory / Statistics / Probability and statistics / Probability

Conditional Random Fields: An Introduction Hanna M. Wallach February 24, 2004 1

Add to Reading List

Source URL: www.cs.iastate.edu

Language: English - Date: 2004-09-12 21:57:28
576Behavior / Artificial intelligence / Game theory / Markov chain / Reinforcement learning / Asymptotic analysis / Reinforcement / Power law / Psychology / Markov models / Statistics / Science

doi:j.geb

Add to Reading List

Source URL: www.luis.izqui.org

Language: English - Date: 2009-07-31 18:02:39
577Bayesian statistics / Markov models / Computational linguistics / Graphical models / Hidden Markov model / Bayesian network / Speech recognition / Mixture model / Expectation–maximization algorithm / Statistics / Statistical models / Probability and statistics

FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS Heng Lu, Simon King The Centre for Speech Technology Research, The University of Edinburgh, UK , ABSTRACT

Add to Reading List

Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2013-04-25 21:11:16
578Probability theory / Belief propagation / Coding theory / Markov models / Markov random field / Planar graph / Matrix / Tree decomposition / Kalman filter / Graph theory / Mathematics / Graphical models

3136 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 11, NOVEMBER 2004 Embedded Trees: Estimation of Gaussian Processes on Graphs with Cycles

Add to Reading List

Source URL: ssg.mit.edu

Language: English - Date: 2012-02-01 13:38:08
579Machine learning / Computational statistics / Computational phylogenetics / Hidden Markov model / Sequence alignment / Algorithm / Baum–Welch algorithm / Markov chain / Expectation–maximization algorithm / Markov models / Statistics / Bioinformatics

Similarity-Based Alignment and Generalization Daniel Oblinger, Vittorio Castelli, Tessa Lau, and Lawrence D. Bergman IBM T.J. Watson Research, New York oblio,vittorio,tessalau, Abstract. We present a

Add to Reading List

Source URL: tlau.org

Language: English - Date: 2005-11-29 11:04:24
580Statistical theory / Machine learning / Markov models / Expectation–maximization algorithm / Maximum likelihood / Hidden Markov model / Mixture model / Kullback–Leibler divergence / Marginal likelihood / Statistics / Estimation theory / Bayesian statistics

Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin

Add to Reading List

Source URL: www.inf.ed.ac.uk

Language: English - Date: 2005-11-29 12:55:06
UPDATE