Graphical models

Results: 1083



#Item
71Database theory / Relational model / Database management systems / Query languages / Graphical models / Relational algebra / Datalog / Bayesian network / Probabilistic database / Relational database / BPP / Randomized algorithm

On Probabilistic Fixpoint and Markov Chain Query Languages Daniel Deutch Tel Aviv University

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Source URL: www.cs.tau.ac.il

Language: English - Date: 2010-09-20 08:01:19
72Graphical models / Statistical models / Bayesian network / Networks / Normal distribution / Hidden Markov model

Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA,

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Source URL: music.informatics.indiana.edu

Language: English - Date: 2000-11-10 09:32:54
73Neuroanatomy / Ensemble learning / Sulcus / Cerebrum / AdaBoost / Curve / Gyrus / Boosting

IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 3, MARCHJoint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors

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Source URL: pages.ucsd.edu

Language: English - Date: 2009-03-20 23:01:14
74Machine learning / Graphical models / Conditional random field / Stereoscopy / Vision / Image segmentation / Markov random field / Mixture model / Supervised learning / Stereopsis / Regression analysis

Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal

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Source URL: www.cs.middlebury.edu

Language: English - Date: 2007-06-15 21:08:12
75Coding theory / Error detection and correction / Graphical models / Low-density parity-check code / Belief propagation / Repetition code / Factor graph / Additive white Gaussian noise

894 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 3, SEPTEMBER 2011 A Message-Passing Approach to Combating Desynchronization Attacks

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Source URL: coleman.ucsd.edu

Language: English
76Graphical models / Markov models / Probability theory / Markov random field / Structured prediction / Bayesian network / Random field / Markov chain / Support vector machine / Markov logic network / Algorithm / Hidden Markov model

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang

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Source URL: psl.umiacs.umd.edu

Language: English - Date: 2013-11-10 21:52:40
77Algorithm / Mathematical logic / Theoretical computer science / Edsger W. Dijkstra / Spanning tree / Graphical models

Exercise 2: Flirting with Synchrony and Asynchrony Task 1: Growing Balls Denote by B(v, r) the ball of radius r around v, i.e., B(v, r) = {u ∈ V : dist(u, v) ≤ r}. Consider the following partitioning algorithm. Algor

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Source URL: resources.mpi-inf.mpg.de

Language: English - Date: 2014-10-28 15:42:59
78Graphical models / General topology / Structured prediction / Machine learning / Statistical classification / Conditional random field / Net / Constructible universe / Bayesian network / Support vector machine / Filter / Clique

Structured Prediction Cascades David Weiss and Ben Taskar University of Pennsylvania Abstract

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Source URL: www.seas.upenn.edu

Language: English - Date: 2010-07-29 22:32:37
79Statistical models / Spanning tree / Networks / Graphical models / Bayesian network / Minimum spanning tree / Line graph / Algorithm / Directed acyclic graph / Pi / Feedback arc set / Book:Graph Theory

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 61, NO. 12, JUNE 15, Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs

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Source URL: coleman.ucsd.edu

Language: English
80Causal inference / Regression analysis / Graphical models / Theoretical physics / Multivariate statistics / Causality / Instrumental variable / Confounding / Causal model / Causal structure / Matching / Topological sorting

Identifying Causal Effects with the R Package causaleffect Santtu Tikka Juha Karvanen

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Source URL: cran.r-project.org

Language: English - Date: 2016-02-23 03:40:29
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