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Graphical models
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#	Item
71	On Probabilistic Fixpoint and Markov Chain Query Languages Daniel Deutch Tel Aviv University Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2010-09-20 08:01:19 Database theory Relational model Database management systems Query languages Graphical models Relational algebra Datalog Bayesian network Probabilistic database Relational database BPP Randomized algorithm
72	Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2000-11-10 09:32:54 Graphical models Statistical models Bayesian network Networks Normal distribution Hidden Markov model
73	IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 3, MARCHJoint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-03-20 23:01:14 Neuroanatomy Ensemble learning Sulcus Cerebrum AdaBoost Curve Gyrus Boosting
74	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis
75	894 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 3, SEPTEMBER 2011 A Message-Passing Approach to Combating Desynchronization Attacks Add to Reading List Source URL: coleman.ucsd.edu Language: English Coding theory Error detection and correction Graphical models Low-density parity-check code Belief propagation Repetition code Factor graph Additive white Gaussian noise
76	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-10 21:52:40 Graphical 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
77	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 Add to Reading List Source URL: resources.mpi-inf.mpg.de Language: English - Date: 2014-10-28 15:42:59 Algorithm Mathematical logic Theoretical computer science Edsger W. Dijkstra Spanning tree Graphical models
78	Structured Prediction Cascades David Weiss and Ben Taskar University of Pennsylvania Abstract Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-07-29 22:32:37 Graphical models General topology Structured prediction Machine learning Statistical classification Conditional random field Net Constructible universe Bayesian network Support vector machine Filter Clique
79	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 61, NO. 12, JUNE 15, Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs Add to Reading List Source URL: coleman.ucsd.edu Language: English Statistical models Spanning tree Networks Graphical models Bayesian network Minimum spanning tree Line graph Algorithm Directed acyclic graph Pi Feedback arc set Book:Graph Theory
80	Identifying Causal Effects with the R Package causaleffect Santtu Tikka Juha Karvanen Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2016-02-23 03:40:29 Causal inference Regression analysis Graphical models Theoretical physics Multivariate statistics Causality Instrumental variable Confounding Causal model Causal structure Matching Topological sorting