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Model selection
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#	Item
821	Math3346, October 3, 2006. Assignment 4, due October 20, 2006. This assigment is based on Laboratory Exercises 9. Please forward an attached pdf file that has your assignment. 1 Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Model selection Pharmaceutical industry Validity Pruning Support vector machine Validation Statistics Machine learning Cross-validation
822	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
823	Direct Convex Relaxations of Sparse SVM Antoni B. Chan [removed] Nuno Vasconcelos [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:14 Mathematical optimization Statistical classification Operations research Model selection Support vector machines Kernel methods Semidefinite programming Quadratically constrained quadratic program Feature selection Statistics Machine learning Mathematics
824	AICF Connections Connecting with Supporters, Donors and Sponsors of the Agricultural Institute of Canada Foundation (AICF) Issue # 10 Winter 2006 Add to Reading List Source URL: www.aic.ca Language: English - Date: 2010-01-20 18:37:20 Royal Bank of Canada Economy of Canada Akaike information criterion Model selection
825	Feature Subset Selection for Learning Preferences: A Case Study Antonio Bahamonde [removed] Gustavo F. Bay´ on Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:39 Statistical classification Model selection Support vector machine Learning Linear algebra Cross-validation Feature selection Kernel methods Vector space Statistics Algebra Machine learning
826	Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:06 Machine learning Statistical theory Cluster analysis Multivariate statistics Mutual information Entropy K-means clustering Feature selection Mixture model Statistics Probability and statistics Information theory
827	Scenario Selection for Water Management in California California Department of Water Resources – Climate Change Technical Advisory Group (Revised Draft[removed]Objective: Select a manageable suite of climate change sc Add to Reading List Source URL: www.water.ca.gov Language: English - Date: 2013-08-30 14:58:50 Environment Runoff model Surface runoff Streamflow Downscaling Water resources Climate model Hydrology Water Earth
828	Guide to AAII Model portfolios A solid source for investment ideas Add to Reading List Source URL: www.aaii.com Language: English - Date: 2014-06-17 13:27:21 Funds Financial services Financial markets Valuation Portfolio Active management Stock selection criterion Index fund Exchange-traded fund Financial economics Investment Finance
829	Microsoft Word[removed]Spring Connections Newsletter Final Add to Reading List Source URL: www.aic.ca Language: English - Date: 2011-10-14 13:55:16 Akaike information criterion Model selection Professional agrologist
830	A Landsat 7 Scene Selection Strategy for a National Land Cover Database* Limin Yang, Collin Homer, Kent Hegge, Chengquan Huang, Bruce Wylie and Bradley Reed Raytheon ITSS, EROS Data Center, Sioux Falls, SD[removed]USA Abst Add to Reading List Source URL: landcover.usgs.gov Language: English - Date: 2006-10-12 14:56:16 Nature Remote sensing Normalized Difference Vegetation Index Phenology EVI Vegetation Landsat 7 Landsat program Revised Simple Biosphere Model Biology Ecology Earth

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