Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside

First Page		Document Content
Date: 2011-01-19 19:25:15 Statistics Estimation theory Markov models Statistical theory Statistical models Regression analysis Bayesian network Gibbs sampling Markov chain Expectationmaximization algorithm Parameter Mathematical model		Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Download Document from Source Website File Size: 138,04 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