CSE 181 Project guidelines

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Date: 2012-11-28 06:58:51 Statistics Statistical theory Estimation theory Markov models Bayesian statistics Maximum likelihood estimation Likelihood function BaumWelch algorithm Likelihood-ratio test		CSE 181 Project guidelines Add to Reading List Source URL: www.cs.bilkent.edu.tr Download Document from Source Website File Size: 382,62 KB Share Document on Facebook

	1 Poster: Zero-day Botnet Domain Generation Algorithm (DGA) Detection using Hidden Markov Models (HMMs) Yu Fu, Lu Yu, Richard Brooks Senior Member, IEEE DocID: 1xTn8 - View Document
	doi:jmbiavailable online at http://www.idealibrary.com on J. Mol. Biol, 903±919 Assignment of Homology to Genome Sequences using a Library of Hidden Markov Models that DocID: 1vpzW - View Document
	HMMER User’s Guide Biological sequence analysis using profile hidden Markov models Sean R. Eddy and the HMMER development team DocID: 1vkVT - View Document
	EE365: Hidden Markov Models Hidden Markov Models The Viterbi Algorithm 1 DocID: 1vjvE - View Document
	Spectral Learning for Mixture of Markov Models 1 Barıs¸ DocID: 1veNl - View Document