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Conditional probability distribution
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61	Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss Krzysztof Dembczy´ nski1,3 , Willem Waegeman2 , 1 Add to Reading List Source URL: www.uni-marburg.de Language: English - Date: 2010-09-13 19:41:43 Decision theory Marginal distribution Loss function Independence Conditional probability distribution Probability theory Statistics Probability and statistics
62	Inference in Hybrid Bayesian Networks using dynamic discretisation Martin Neil†‡ , Manesh Tailor‡ and David Marquez† † Department of Computer Science, Queen Mary, University of London ‡ Agena Ltd Abstract We Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:04 Bayesian statistics Bayesian network Normal distribution Probability distribution Statistical inference Bayesian inference Prior probability Kullback–Leibler divergence Conditional probability distribution Statistics Probability and statistics Statistical theory
63	INTRODUCTION TO PROBABILITY MODELS (ISOM 3540), FALL[removed]Instructor: Dr.Xinghua Zheng Office: Rm.4382D Email: [removed] Lectures: Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2012-04-24 04:09:32 Examinations Psychometrics Academia Academic dishonesty Final examination Probability distribution Probability theory Conditional probability distribution Test Education Knowledge Probability and statistics
64	STAT 538 Homework 1 Out January 14, 2015 Due January 20, 2015 c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-15 01:06:00 Mutual information Entropy Normal distribution Kullback–Leibler divergence Multivariate normal distribution Markov chain Conditional independence Independence Conditional mutual information Statistics Information theory Probability and statistics
65	STAT 538 Lecture 4.0 Independence and conditional independence c Marina Meil˘a [removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-27 12:59:57 Independence Bayesian network Conditional probability Conditional independence Markov random field Graphical model Mutual information Joint probability distribution Multivariate normal distribution Probability theory Statistics Probability
66	Bayesian Belief Network Dr. Saed Sayad University of Toronto[removed]removed] Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-02-10 21:03:47 Probability and statistics Probability Conditional probability Mutually exclusive events Bayesian network Joint probability distribution Probability theory Statistics Mathematics
67	Growth and Allocation of Resources in Economics: The Agent-Based Approach Enrico Scalasa,b, Mauro Gallegatic, Eric Guercid, David Mase, and Alessandra Tedeschif a Università del Piemonte Orientale, Italy Add to Reading List Source URL: arxiv.org Language: English - Date: 2006-08-23 05:38:14 Normal distribution Stochastic differential equation Central limit theorem Random walk Markov chain Power law Random variable Autoregressive conditional heteroskedasticity Probability distribution Statistics Stochastic processes Log-normal distribution
68	Microsoft PowerPoint - Graphical_Models.ppt Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-09-28 10:29:13 Probability and statistics Graphical models Probability distribution Bayesian network Joint probability distribution Expected value Random variable Graphical models for protein structure Conditional probability distribution Probability theory Statistics Probability
69	Statistical Machine Learning Notes 1 Background Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:33 Independence Random variable Covariance Expected value Probability density function Joint probability distribution Multivariate random variable Conditional expectation Cumulative distribution function Statistics Probability theory Probability and statistics
70	When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of Edinburgh Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-03-08 04:44:56 Machine learning Regression analysis Actuarial science Generative model Naive Bayes classifier Supervised learning Conditional probability distribution Instrumental variable Linear regression Statistics Statistical models Econometrics