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Model selection
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#	Item
261	2214 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 16, NO. 8, DECEMBER 2014 Conceptlets: Selective Semantics for Classifying Video Events Add to Reading List Source URL: isis-data.science.uva.nl Language: English - Date: 2014-11-20 02:38:08 Probability theory Dimension reduction Feature selection Entropy Cross-validation Concept Support vector machine Event Statistics Model selection Machine learning
262	Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence Stephanie Rosenthal∗ , Dan Bohus, Ece Kamar, Eric Horvitz Microsoft Research Redmond, WA USA , {dbohus, eckam Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-04-24 04:58:18 Mental processes Philosophy of religion Economic model Belief Partially observable Markov decision process BT Group Reinforcement learning Perception Action selection Mind Ethology Knowledge
263	Using Genetic Programming to Perform Time-Series Forecasting of Stock Prices Anthony Hui Computer Science Department Stanford University Stanford, California 94305 Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:29:10 Evolutionary biology Mathematical optimization Cross-validation Model selection Stack Fitness function Fitness Selection Evolution Statistics Genetic algorithms Evolutionary algorithms
264	Chapter 16 Strategy Optimisation In prior chapters we have considered how to create both an underlying predictive model (such as with the Suppor Vector Machine and Random Forest Classifier) as well as a trading strategy Add to Reading List Source URL: www.quantstart.com Language: English - Date: 2015-05-18 04:58:44 Overfitting Grid search Support vector machine Test set Model selection Training set Parameter Economic model Statistics Machine learning Cross-validation
265	Variable selection in semiparametric regression modeling Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2008-02-06 13:25:46 Estimation theory Econometrics Statistical inference Linear regression Nonparametric regression Semiparametric regression Semiparametric model Parametric model Non-parametric statistics Statistics Regression analysis Statistical models
266	Confidence Sets for Variable Selection Davide Ferrari joint work with Yuhong Yang Department of Mathematics & Statistics University of Melbourne Add to Reading List Source URL: www.statsoc.org.au Language: English - Date: 2014-03-27 21:00:09 Regression analysis Estimation theory Parametric statistics Akaike information criterion Linear regression Feature selection Statistics Model selection Econometrics
267	TREC 2005 Enterprise Track Results from Drexel Weizhong Zhu1, Min Song2, and Robert B. Allen1 1 College of Information Science Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:35 Science Natural language processing Computational linguistics Model selection Statistical classification Support vector machine Vector space model Latent semantic indexing N-gram Statistics Information science Information retrieval
268	Identifying Gene Function Descriptions by Probability-based Sentence Selection Kazuhiro Seki, Nihar Sheth, and Javed Mostafa Laboratory for Applied Informatics Research, Indiana University 1320 East Tenth Street, LI 011, Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:07:10 Computational linguistics Information retrieval Speech recognition Automatic summarization Data mining Stemming Language model Sentence Dice Linguistics Science Natural language processing
269	MEASURING TARGET COST IN UNIT SELECTION WITH KL-DIVERGENCE BETWEEN CONTEXT-DEPENDENT HMMS Yong Zhao, Peng Liu, Yusheng Li, Yining Chen and Min Chu Microsoft Research Asia, Beijing, China, 100080 {yzhao, pengliu, yushli, Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:28 Phonology Assistive technology Speech synthesis Phonetics Hidden Markov model HTK Prosody Target Corporation Linguistics Science Computational linguistics
270	A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction Yi Shi∗ , Zhipeng Cai∗ Department of Computing Science, University of Alberta Edmonton, Alberta T6G 2E8, Canada Email: ys3, ert Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Science Machine learning Model selection Dimension reduction Gene expression Gene expression profiling Support vector machine DNA microarray Feature selection Statistics Microarrays Biology

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