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Forward algorithm
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61	36-785: State Space and Hidden Markov Models Instructor: Jing Lei Office: Baker Hall 229-G Email: [removed] Phone: [removed]Office hours: Wednesdays 2:30-3:30 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-01-13 13:40:57 Hidden Markov model Particle filter Markov chain Kalman filter Viterbi algorithm Forward–backward algorithm Estimation theory Hierarchical hidden Markov model Markov models Statistics Probability and statistics
62	Design of Ring Convolutional Trellis Codes for MAP Decoding of MPEG-4 Imagery Srijidtra Mahapakulchai & Robert E. Van Dyck The Pennsylvania State University, University Park, PA National Institute of Standards and Te Add to Reading List Source URL: w3.antd.nist.gov Language: English - Date: 2009-02-03 16:25:27 Discrete mathematics Forward error correction Systematic code Trellis modulation Telecommunications engineering Electronic engineering Decoding methods Viterbi algorithm Turbo code Error detection and correction Coding theory Convolutional code
63	Hidden Markov Models Hal Daumé III Computer Science University of Maryland [removed] CS 421: Introduction to Artificial Intelligence Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-04-17 08:44:01 Probability and statistics Bioinformatics Markov chain Hidden Markov model Markov property Forward–backward algorithm Stationary distribution Markov models Statistics Markov processes
64	I am not sure how some of these thoughts relate to the workshop’s limited scope in terms of Web Server Certificates. But, here are some of the thoughts I have had. May be they help as lessons learned as we move forward Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2013-03-12 12:38:42 Internet protocols Internet standards Key management Online Certificate Status Protocol X.509 SCVP Public key certificate Code signing Certification path validation algorithm Cryptography Public-key cryptography Cryptographic protocols
65	HMMs and the forward-backward algorithm Ramesh Sridharan∗ These notes give a short review of Hidden Markov Models (HMMs) and the forwardbackward algorithm. They’re written assuming familiarity with the sum-product be Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-01-26 15:07:53 Vehicle Identification Number Science Bioinformatics Hidden Markov model X2
66	DATUM SYSTEMS Appendix TPC M500 Turbo Product Codes FEC Addendum Add to Reading List Source URL: www.datumsystems.com Language: English - Date: 2010-08-20 01:26:24 Satellite modem Telecommunications engineering Forward error correction Modem Convolutional code Scrambler Data signaling rate Viterbi algorithm Error detection and correction OSI protocols Technology
67	contributed articles doi:[removed][removed]Computers interacting with, not imitating, humans is the way forward. By Robert M. French Add to Reading List Source URL: www.exploringcs.org Language: English - Date: 2013-01-24 17:45:26 Science Computer science Human–computer interaction Theoretical computer science Turing test Computing Machinery and Intelligence Turing machine Algorithm A New Kind of Science Alan Turing Artificial intelligence Philosophy of artificial intelligence
68	Relaxed Marginal Inference and its Application to Dependency Parsing Sebastian Riedel David A. Smith Department of Computer Science University of Massachusetts, Amherst {riedel,dasmith}@cs.umass.edu Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2010-04-02 15:00:32 Mathematics Belief propagation Factor graph Inference Gibbs sampling Tree decomposition Forward–backward algorithm Bayesian network Markov random field Graph theory Graphical models Statistics
69	Hidden Markov Models • Generative, rather than descriptive model. – Objects produced by random process. • Dependencies in process, some random events influence others. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-04-08 09:40:03 Probability and statistics Dynamic programming Bioinformatics Hidden Markov model Markov chain Forward–backward algorithm Continuous-time Markov process Markov models Statistics Markov processes
70	Efficient Resource-constrained Retrospective Analysis of Long Video Sequences Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs Department of Computer Science University of Maryland, College Park Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-12-26 12:18:04 Mathematics Cybernetics Algorithm Mathematical logic Theoretical computer science Hidden Markov model Forward–backward algorithm Mixture model Sampling Statistics Machine learning Markov models

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