Journal of Artificial Intelligence Research–774 Submitted 03 10; publishedIntrusion Detection using Continuous Time Bayesian Networks Jing Xu - Pyrometallurgy - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2011-01-19 19:25:19 Statistics Estimation theory Control theory Mathematical analysis Markov models Graphical models Bayesian network Maximum likelihood estimation Expectationmaximization algorithm Markov chain Discretization State-space representation		Journal of Artificial Intelligence Research–774 Submitted 03/10; publishedIntrusion Detection using Continuous Time Bayesian Networks Jing Xu Add to Reading List Source URL: rlair.cs.ucr.edu Download Document from Source Website File Size: 466,43 KB Share Document on Facebook

	Designing Robust Software Systems through Parametric Markov Chain Synthesis ˇ ska† , Simos Gerasimou∗ , Marta Kwiatkowska‡ and Nicola Paoletti§ Radu Calinescu∗ , Milan Ceˇ ∗ Department of Computer Science, U DocID: 1xTt6 - View Document
	Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗ DocID: 1vbSk - View Document
	Mean field and fluid approaches to Markov chain analysis Jeremy T. Bradley ∗ Department of Computing, Imperial College London, UK Representing the explicit state space of performance models has inheren DocID: 1v7u1 - View Document
	ODE approximations to some Markov chain models Perla Sousi January 13, 2009 DocID: 1uW7y - View Document
	Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan DocID: 1uvqp - View Document