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Markov networks
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11	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 Language: English - 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
12	Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes E. Busra Celikkaya University of California, Riverside CELIKKAE @ CS . UCR . EDU Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:50:46 Graphical models Statistics Applied mathematics Mathematics Estimation theory Bayesian network Networks Gibbs sampling Belief propagation Expectationmaximization algorithm Computation tree
13	LNAIContinuous Time Bayesian Networks for Host Level Network Intrusion Detection Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistics Probability Statistical theory Markov models Statistical models Graphical models Estimation theory Bayesian network Networks Markov chain Normal distribution Expectationmaximization algorithm
14	A Neural Click Model for Web Search Alexey Borisov†, ‡ Ilya Markov‡ Maarten de Rijke‡ Pavel Serdyukov† Add to Reading List Source URL: staff.fnwi.uva.nl Language: English - Date: 2016-05-08 14:58:20 Information science Information retrieval Internet search engines Artificial neural networks Information retrieval evaluation Natural language processing Deep learning Recurrent neural network Language model Speech recognition Dwell time Ranking
15	Strong systematicity in sentence processing by simple recurrent networks Phil´emon Brakel () Stefan L. Frank () Institute for Logic, Language, and Computation, University of Amsterdam Sci Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2012-03-11 05:05:11 Computational neuroscience Cognitive science Artificial neural networks Cognition Cybernetics Markov models Statistical natural language processing Recurrent neural network Language model Connectionism Convolutional neural network Transformational grammar
16	PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel† Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2015-07-18 05:41:54 Statistics Probability Monte Carlo methods Computational statistics Estimation theory Markov models Robot control Particle filter Auxiliary particle filter Hidden Markov model Normal distribution Resampling
17	Robustness of Markov processes on large networks R.S.MacKay Mathematics Institute and Centre for Complexity Science, University of Warwick, Coventry CV4 7AL, UK Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 1970-01-01 18:00:00 Mathematical analysis Mathematics Probability theory Markov processes Stochastic processes Graph theory Markov chain Spectral theory Ising model Mixing Decomposition of spectrum Spectral theory of ordinary differential equations
18	ABSTRACT Title of dissertation: HINGE-LOSS MARKOV RANDOM FIELDS AND PROBABILISTIC SOFT LOGIC: Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-10-08 14:59:19 Statistics Machine learning Probability Statistical models Graphical models Bayesian statistics Markov networks Statistical relational learning Probabilistic soft logic Markov random field Structured prediction Expectationmaximization algorithm
19	COMBINING I-VECTOR REPRESENTATION AND STRUCTURED NEURAL NETWORKS FOR RAPID ADAPTATION Chunyang Wu, Penny Karanasou, Mark J.F. Gales Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: { Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-04-05 12:13:29 Machine learning Automatic identification and data capture Artificial intelligence Humancomputer interaction Markov models Artificial neural networks Computational neuroscience Computer accessibility Speech recognition Perceptron Speaker recognition Hidden Markov model
20	A Dis rete Probabilisti Memory Model for Dis overing Dependen ies in Time Sepp Ho hreiter and Mi hael C. Mozer Department of Computer S ien e University of Colorado Boulder, CO 80309{0430 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:25:21 Computational neuroscience Cognitive science Applied mathematics Artificial neural networks Neuroscience Computational statistics Long short-term memory Artificial intelligence Hidden Markov model Memory