Chapter 7
[7:1] A tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, L. Rabiner - Proceedings of the IEEE Volume 77, Feb 1989 - http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf
[7:2] CRF Java library v 1.3 S. Sarawagi - Indian Institute of Technology, Bombay 2008 - http://crf.sourceforge.net/
[7:3] Introduction to Machine Learning §13.2 Discrete Markov Processes E. Alpaydin - The MIT Press 2004
[7:4] A Revealing Introduction to Hidden Markov Models M. Stamp - Dept. of Computer Science, San Jose State University 2012 - http://www.cs.sjsu.edu/~stamp/RUA/HMM.pdf
[7:5] A brief introduction to Dynamic Programming A. Kasibhatla - Nanocad Lab University of California, Los Angeles 2010 -http://nanocad.ee.ucla.edu/pub/Main/SnippetTutorial/Amar_DP_Intro.pdf
[7:6] Pattern Recognition and Machine Learning §13.2.1 Maximum Likelihood for the HMM C. Bishop –Springer 2006
[7:7] Dynamic Programing in Machine learning – Part 3: Viterbi Algorithm and Machine...