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Stanford University Network
Results: 249

#	Item
161	Large-scale Video Classification with Convolutional Neural Networks Andrej Karpathy1,2 George Toderici1 [removed] Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2014-04-21 18:14:28 Information Internet Communications protocol Segmentation Boltzmann machine Recurrent neural network University of Central Florida Cellular neural network Neural networks Cybernetics Science
162	Stanford University Department of Statistics Departmental Seminar 4:15pm, Tuesday, February 24, 2015 * Note Special Location * McCullough Building[removed]Room 115 Add to Reading List Source URL: statistics.stanford.edu Language: English - Date: 2015-02-12 14:53:07 Statistical models Systems biology Gene expression Gene regulatory network Model selection Likelihood-ratio test Statistics Statistical theory Networks
163	Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Statistical models Graphical models Networks Markov chain Bayesian network Stochastic process Stochastic matrix Hidden Markov model Continuous-time Markov process Statistics Markov models Markov processes
164	CONTINUOUS TIME BAYESIAN NETWORKS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-05-19 21:09:21 Networks Statistical models Graphical models Bayesian network Epistemology Inference Statistics Bayesian statistics Logic
165	Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-06-05 21:42:42 Exponentials Statistical theory Bayesian statistics Expectation–maximization algorithm Hidden Markov model Bayesian network Exponential family Maximum likelihood Sufficient statistic Statistics Markov models Estimation theory
166	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory
167	Designing a Super-Peer Network Beverly Yang Hector Garcia-Molina fbyang, [removed] Computer Science Department, Stanford University Abstract Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2002-12-04 16:55:52 Distributed data storage Software Peer-to-peer Gnutella Ares Galaxy Chord Freenet GiFT Scalability File sharing networks Computing Concurrent computing
168	HBR Blog Network Universities Cater to a New Demographic: Boomers by Marc Freedman \| 9:00 AM August 22, 2014 Add to Reading List Source URL: www.encore.org Language: English - Date: 2014-09-17 18:22:20 Demographics of the United States Higher education Demographics Education in the United States Association of American Universities Stanford University Harvard University
169	From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/klei Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:47 Innovation Network theory Structure Networks Ethology Diffusion of innovations Coordination game Social network Complex contagion Sociology Science Anthropology
170	From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/klei Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:48 Social networks Mathematics Community building Small world experiment Six degrees of separation Duncan J. Watts Stanley Milgram Small world routing Evolving networks Graph theory Network theory Networks

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