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Function model
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621	6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Conjugate prior Likelihood function Normal distribution Statistics Estimation theory Bayesian statistics
622	WiSeNet: Building a Wikipedia-based Semantic Network with Ontologized Relations Andrea Moro Roberto Navigli Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2012-11-03 07:43:14 Data management Relational model WordNet Artificial intelligence Information extraction Finitary relation Table Semantic network Function Knowledge representation Science Mathematics
623	BOSE610PX 60cm, 10 Function, Built In Pyrolytic Oven Model Code BOSE610PX Specifications Add to Reading List Source URL: assets.selector.com Language: English - Date: 2015-03-10 19:26:38 Cookware and bakeware Cooking appliances Fireplaces Oven
624	Statistics 582, Problem Set 4 Solutions Wellner; [removed]Consider Example 1.3 as given on page 4 of the Chapter 5 notes. (a) Consider calculation of the Bayes rule for the prior λ1 = λ, λ2 = 1 − λ with λ ∈ [ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-05 18:34:46 Bayes estimator Bayesian inference Conjugate prior Gamma distribution Maximum likelihood Loss function Symbol Parametric model Statistics Statistical theory Estimation theory
625	c 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.sosy-lab.org Language: English - Date: 2015-04-14 05:36:42 Diagrams Algorithm Theoretical computer science Binary decision diagram Economic model Model checking Function Mathematics Boolean algebra Mathematical logic
626	6.867 Machine learning, lecture 10 (Jaakkola) 1 Lecture topics: model selection criteria • Structural risk minimization, example derivation Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Bayesian statistics Econometrics Bayesian inference Maximum likelihood Loss function Likelihood function Marginal likelihood Normal distribution Bayesian information criterion Statistics Estimation theory Statistical theory
627	Clustering by intersection-merging Qunhua Li Marina Meila˘ Department of Statistics Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-11-27 01:06:05 Mixture model Likelihood function Mixture distribution EM Algorithm Statistics Estimation theory Expectation–maximization algorithm
628	On Formal Specification of a Proof Tool∗ R.D. Arthan ICL Secure Systems, Eskdale Road, Winnersh, Berks. RG11 5TT Add to Reading List Source URL: www.lemma-one.com Language: English - Date: 2008-07-11 10:33:45 First-order logic Model theory Predicate logic Axiom Zermelo set theory Function Well-formed formula Logic Mathematics Mathematical logic
629	A complete universal query operator. Richard Elling Moe Department of information science and media studies University of Bergen Abstract Add to Reading List Source URL: www.nik.no Language: English - Date: 2007-10-11 05:34:18 Mathematics Relational algebra Relational database SQL FO Structure Relation K Function Data management Relational model Computing
630	Transportation Costs, Increasing Returns and Regional Growth: An Interregional CGE Analysis Eduardo A. Haddad FEA, University of São Paulo, Brazil and Regional Economics Applications Laboratory, University of Illinois, Add to Reading List Source URL: www.iioa.org Language: English - Date: 2007-10-09 05:40:32 Computable general equilibrium Utility Constant elasticity of substitution General equilibrium theory Production function Elasticity Economic model International trade Economies of scale Economics Microeconomics Consumer theory

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