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Graphical models
Results: 1083

#	Item
391	Pointer: Multiple Collocated Display Inputs Suggests New Models for Program Design and Debugging Marcello Bastéa-Forte, Ron Yeh, Scott R. Klemmer Stanford University HCI Group Computer Science Department Stanford, CA 94 Add to Reading List Source URL: hci.stanford.edu Language: English - Date: 2007-10-06 18:19:44 User interface techniques Surface computing DiamondTouch X Window System Multi-touch Debugging Graphical user interface Java User interface Computing Software System software
392	Learning Bayesian Networks for Improved Instruction Cache Analysis Mark Bartlett, Iain Bate and James Cussens Department of Computer Science University of York Heslington, York, UK Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2011-01-04 06:19:45 Computer hardware Computer architecture Central processing unit Bayesian network Networks CPU cache Worst-case execution time Graphical model Cache Statistics Bayesian statistics Statistical models
393	Sampling Techniques for Probabilistic and Deterministic Graphical models Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-11-19 16:19:36 Probability and statistics Importance sampling Markov chain Monte Carlo Gibbs sampling Bayesian network Markov chain Variance reduction Probabilistic logic Sampling Statistics Monte Carlo methods Computational statistics
394	Advances in Combinatorial Op4miza4on Tasks over Graphical Models Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-12-29 16:16:40 Theoretical computer science Bayesian statistics Statistical models Applied mathematics Probability and statistics Markov random field Bayesian network Mathematical optimization Constraint satisfaction problem Graphical models Networks Statistics
395	A Structure-guided Approach to Capturing Bayesian Reasoning about Legal Evidence in Argumentation Sjoerd T. Timmer John-Jules Ch. Meyer Henry Prakken Add to Reading List Source URL: www.cs.uu.nl Language: English - Date: 2015-02-23 06:13:32 Bayesian statistics Statistical models Reasoning Arguments Graphical models Bayesian network Probabilistic logic Argumentation theory Defeasible reasoning Science Logic Knowledge
396	Graphical Displays for Identified and Unidentified Latent Class Cluster and Factor Models Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:22 Statistical models Structural equation models Categorical data Latent class model Latent variable Factor analysis Data analysis Confirmatory factor analysis Parameter Statistics Psychometrics Multivariate statistics
397	Learning Generative Models with Visual Attention Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto, Ontario, Canada Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 13:56:05 Machine learning Statistical models Graphical models Bayesian statistics Networks Boltzmann machine Generative model Bayesian inference Bayesian network Statistics Probability and statistics Probability
398	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
399	Journal of Machine Learning Research1009 Submitted 10/12; Revised 9/13; Published 3/14 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-08-21 10:57:11 Statistics Applied mathematics Probability Graphical models Conditional random field Hidden Markov model Segmentation Algorithm Normal distribution Markov models Machine learning Theoretical computer science
400	COMPSCI 276 Homework Assignment 2 Fall 2014 Instructor: Rina Dechter Due: Wednesday, October 22nd Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-10-15 01:13:29 Networks Probability theory Bayesian network Function Exponential function Markov random field Mutual information Elliptic curve Mathematics Mathematical analysis Graphical models

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