Expectation

Results: 2405



#Item
981Accelerator effect / Business cycle / Multiplier / Marginal propensity to consume / Keynesian economics / Economic model / Macroeconomics / Economic theories / Economics

Nonlinear expectation formation, endogenous business cycles and stylized facts

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Source URL: www.uni-bamberg.de

Language: English - Date: 2011-02-20 13:40:19
982Expectation of privacy / Fourth Amendment to the United States Constitution / Rakas v. Illinois / Katz v. United States / Pando v. Fernandez / Florida v. Riley / Privacy law / Law / Case law

****************************************************** The ‘‘officially released’’ date that appears near the beginning of each opinion is the date the opinion will be published in the Connecticut Law Journal or

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Source URL: jud.ct.gov

Language: English - Date: 2010-05-19 11:25:30
983Earth / Earth sciences / State functions / Cybernetics / System / Systems science / Plate tectonics / Cryosphere / Energy / Science / Systems theory / Physics

1 Expectation 2: Interaction of Earth’s Systems The student will analyze and apply the properties of systems thinking and modeling to the study of earth systems. INDICATOR OBJECTIVE(S) TALKING POINTS RESOURCES

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Source URL: marylandpublicschools.org

Language: English - Date: 2013-08-22 15:56:52
984Mathematical optimization / Operations research / Expectation–maximization algorithm / Support vector machine / Hierarchical clustering / K-means clustering / Multi-label classification / Artificial neuron / Datapoint / Statistics / Machine learning / Neural networks

Multi-View Hierarchical Semi-supervised Learning by Optimal Assignment of Sets of Labels to Instances Bhavana Dalvi William W. Cohen

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Source URL: www.cs.cmu.edu

Language: English - Date: 2014-07-28 11:20:49
985Expectation–maximization algorithm / Normal distribution / Cluster analysis / Statistics / Machine learning / K-means clustering

ESAIM: Probability and Statistics www.esaim-ps.org ESAIM: PS[removed]–452 DOI: [removed]ps[removed]

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Source URL: www.princeton.edu

Language: English - Date: 2012-09-04 10:16:41
986Estimation theory / Poisson processes / Dynamic topic model / Bayesian statistics / Poisson distribution / Latent Dirichlet allocation / Gamma distribution / Expectation–maximization algorithm / Conjugate prior / Statistics / Statistical natural language processing / Stochastic processes

Multiscale Topic Tomography Ramesh Nallapati William Cohen Susan Ditmore

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-03-30 09:51:36
987Machine learning / Information / Information science / Technical communication / Ontology / Hierarchy / WordNet / Expectation–maximization algorithm / Class / Science / Artificial intelligence / Knowledge representation

Classifying Entities into an Incomplete Ontology Bhavana Dalvi William W. Cohen Jamie Callan

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Source URL: www.cs.cmu.edu

Language: English - Date: 2013-10-22 16:01:46
988Nolo contendere / Fourth Amendment to the United States Constitution / Expectation of privacy / Law / Privacy law / Rakas v. Illinois

****************************************************** The ‘‘officially released’’ date that appears near the beginning of each opinion is the date the opinion will be published in the Connecticut Law Journal or

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Source URL: jud.ct.gov

Language: English - Date: 2010-07-06 11:30:35
989Variational Bayesian methods / Latent Dirichlet allocation / Expectation–maximization algorithm / Probabilistic latent semantic analysis / Dirichlet distribution / Bayesian inference / Hyperparameter / Statistics / Bayesian statistics / Statistical natural language processing

On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padhraic Smyth Department of Computer Science University of California, Irvine Irvine, CA, USA

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Source URL: www.ics.uci.edu

Language: English - Date: 2009-05-27 03:06:42
990Bayesian inference / Bayesian probability / Graphical model / Expectation–maximization algorithm / Prior probability / Hierarchical Bayes model / Mixture model / Latent variable / Dirichlet process / Statistics / Bayesian statistics / Bayesian network

Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to

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Source URL: www.indiana.edu

Language: English - Date: 2012-01-07 13:16:34
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