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Expectation
Results: 2405

#	Item
991	Proceedings of ACL ’93, pp[removed]DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS Fernando Pereira AT&T Bell Laboratories Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2002-08-29 18:38:04 Information theory Hierarchical clustering Kullback–Leibler divergence Entropy Maximum likelihood Cross entropy Expectation–maximization algorithm Cluster analysis Determining the number of clusters in a data set Statistics Statistical theory Principle of maximum entropy
992	Microsoft Word - Joh - Final.doc Add to Reading List Source URL: www.law.northwestern.edu Language: English - Date: 2006-09-18 18:44:28 Law Government Biological databases DNA profiling Molecular biology Expectation of privacy Combined DNA Index System California v. Greenwood Fourth Amendment to the United States Constitution Biometrics DNA Biology
993	CONTRACTS RULES DO NOT BEGIN WRITING UNTIL YOU ANSWER THE FOLLOWING QUESTIONS: Have the parties formed a contract? [If you do not see the word ‘valid’ in the fact pattern, then form the contract!] Add to Reading List Source URL: www.ediscoverycalifornia.com Language: English - Date: 2011-04-08 01:41:10 Contract Anticipatory repudiation Assignment Delegation Third-party beneficiary Expectation damages Mistake Damages Letter of credit Law Contract law Private law
994	Expectation Failure as a Basis for Agent-Based Model Diagnosis and Mixed Initiative Model Adaptation during Anomalous Plan Execution Add to Reading List Source URL: aaai.org Language: English - Date: 2007-01-30 16:54:12 Economic model Maximum likelihood Likelihood function Anomaly detection Simulation Statistics Estimation theory Statistical theory
995	Exploratory Learning Bhavana Dalvi, William W. Cohen, and Jamie Callan School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 {bbd, wcohen, callan}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-07-01 09:45:45 Machine learning Estimation theory Expectation–maximization algorithm Missing data Semi-supervised learning K-means clustering Algorithm PP Supervised learning Statistics Applied mathematics Computational statistics
996	Microsoft Word - _3_Crespig1.doc Add to Reading List Source URL: www.houstonlawreview.org Language: English - Date: 2006-04-22 01:30:30 Expectation damages Damages Contract Penal damages Breach of contract Measure of damages under English law Liquidated damages Unconscionability Consequential damages Contract law Law Judicial remedies
997	Combining Mixture Components for Clustering Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-05-24 20:39:20 Mixture model Hierarchical clustering Computer cluster Entropy Expectation–maximization algorithm Determining the number of clusters in a data set Statistics Cluster analysis Machine learning
998	Expectation propagation as a way of life∗ Andrew Gelman† Aki Vehtari‡ Pasi Jylänki§ Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-12-15 22:49:33 Statistical theory Statistical inference Normal distribution Variational Bayesian methods Golden ratio Likelihood function Bayesian inference Expectation–maximization algorithm Empirical Bayes method Statistics Bayesian statistics Estimation theory
999	[removed]Machine Learning, Spring 2011: Homework 4 Due: Tuesday March 1st at the begining of the class Instructions There are two questions on this assignment. Please submit your writeup as two separate sets of pages accor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-03-15 20:16:35 Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Linear regression Logistic regression Naive Bayes classifier Statistics Estimation theory Regression analysis
1000	1 Optimal Dynamic Graphs for Video Content Analysis Tao Xiang and Shaogang Gong Department of Computer Science Add to Reading List Source URL: www.bmva.org Language: English - Date: 2012-02-07 08:52:01 Bayesian inference Estimation theory Statistical models Akaike information criterion Hidden Markov model Bayesian information criterion Maximum likelihood Speech recognition Expectation–maximization algorithm Statistics Model selection Markov models

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