Model selection

Results: 1077



#Item
991Key Dates for Educators and Artists.indd

Key Dates for Educators and Artists.indd

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Source URL: artstarts.com

Language: English - Date: 2013-12-13 15:01:52
992Microsoft Word - A Rule-based Model for Bankruptcy Prediction based on an improved GACA v3.docx

Microsoft Word - A Rule-based Model for Bankruptcy Prediction based on an improved GACA v3.docx

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Source URL: downloads.hindawi.com

Language: English - Date: 2014-03-27 10:15:25
993FEATURE SELECTION VIA JOINT LIKELIHOOD A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy

FEATURE SELECTION VIA JOINT LIKELIHOOD A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy

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Source URL: academy.bcs.org

Language: English - Date: 2013-11-08 14:33:32
994Fast State Discovery for HMM Model Selection and Learning  Sajid M. Siddiqi Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213

Fast State Discovery for HMM Model Selection and Learning Sajid M. Siddiqi Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213

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Source URL: www.cs.cmu.edu

Language: English - Date: 2007-02-13 15:31:33
995Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5 Evgeniy Gabrilovich [removed] Shaul Markovitch [removed]

Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5 Evgeniy Gabrilovich [removed] Shaul Markovitch [removed]

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Source URL: www.cs.technion.ac.il

Language: English - Date: 2004-05-05 03:44:42
996Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions Min Chi, Stanford University, CA USA Kenneth Koedinger, Carnegie Mellon University, PA USA Geoff Gordon, Carnegie Mellon Universi

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions Min Chi, Stanford University, CA USA Kenneth Koedinger, Carnegie Mellon University, PA USA Geoff Gordon, Carnegie Mellon Universi

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Source URL: www.cs.cmu.edu

Language: English - Date: 2011-12-01 13:31:06
997An Agent Language with Destructive Assignment and Model-Theoretic Semantics Robert Kowalski and Fariba Sadri Department of Computing, Imperial College London, 180 Queens Gate, London SW7 2AZ {rak, fs}@doc.ic.ac.uk

An Agent Language with Destructive Assignment and Model-Theoretic Semantics Robert Kowalski and Fariba Sadri Department of Computing, Imperial College London, 180 Queens Gate, London SW7 2AZ {rak, fs}@doc.ic.ac.uk

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Source URL: www.doc.ic.ac.uk

Language: English - Date: 2010-06-19 04:56:36
9983  The vector model For most kinds of spectroscopy it is sufficient to think about energy levels and selection rules; this is not true for NMR. For example, using this energy

3 The vector model For most kinds of spectroscopy it is sufficient to think about energy levels and selection rules; this is not true for NMR. For example, using this energy

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Source URL: www-keeler.ch.cam.ac.uk

Language: English - Date: 2004-02-24 12:30:02
999Call for the expression of interest – Selection of six model demonstrator regions to receive advisory support from the European Service Innovation Centre 1.  Objective of the call

Call for the expression of interest – Selection of six model demonstrator regions to receive advisory support from the European Service Innovation Centre 1. Objective of the call

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Source URL: ec.europa.eu

Language: English - Date: 2013-06-26 05:05:01
1000Motivation Biomarker discovery from high-dimensional data is a crucial problem with enormous applications in biology and medicine. It is also extremely challenging from a statistical viewpoint, but surprisingly few studi

Motivation Biomarker discovery from high-dimensional data is a crucial problem with enormous applications in biology and medicine. It is also extremely challenging from a statistical viewpoint, but surprisingly few studi

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Source URL: www.medicine-science.net23.net

Language: English - Date: 2013-02-01 02:07:01