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Decision tree
Results: 886

#	Item
841	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
842	Contracts Decision Tree Sept 2013 Is the contract fully funded using FY 13 appropriations or are other funds available to fund it (no year or multi-year)? If YES, will contract require government supervision? If NO, cont Add to Reading List Source URL: www.doi.gov Language: English - Date: 2013-09-30 18:32:21 Law Government Contract law Contract Appropriation bill
843	Interactive Data Mining and Design of Experiments: the JMP® Partition and Custom Design Platforms Marie Gaudard, Ph. D., Philip Ramsey, Ph. D., Mia Stephens, MS North Haven Group March 2006 Add to Reading List Source URL: www.jmp.com Language: English - Date: 2006-03-06 15:07:15 Decision trees Parametric statistics Data analysis Data mining JMP Linear regression CHAID Decision tree learning Logistic regression Statistics Regression analysis Econometrics
844	Trial-based Heuristic Tree Search for Finite Horizon MDPs Add to Reading List Source URL: www2.informatik.uni-freiburg.de Language: English - Date: 2013-04-05 08:41:03 Heuristics Search algorithms Mathematical optimization Heuristic function Reinforcement learning Greedy algorithm Markov decision process Algorithm Dynamic programming Mathematics Applied mathematics Statistics
845	JMLR: Workshop and Conference Proceedings vol[removed]–34 Robust Interactive Learning Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2012-05-24 20:13:01 Applied mathematics Computational complexity theory Learning Empirical risk minimization Probably approximately correct learning Decision tree model Active learning Machine learning Theoretical computer science Artificial intelligence
846	DECISION MODELS Decisions Making Under Uncertainty Decisions Making Under Risk 1. Max-Min Criteria (pessimist) 1. Expected Payoff (Average) Add to Reading List Source URL: home.ubalt.edu Language: English - Date: 2013-11-19 17:44:12 Management Expected value of perfect information Regret Expected utility hypothesis Decision tree Expected value Uncertainty EMV Risk Decision theory Game theory Statistics
847	Proceedings Template - WORD Add to Reading List Source URL: www.sigkdd.org Language: English - Date: 2014-01-31 16:16:58 Decision trees Business intelligence Data mining Decision tree learning ADAPA Statistical classification Ensemble learning Recommender system Attribute Statistics Machine learning Computational statistics
848	Decision Path Models for Patient-Specific Modeling of Patient Outcomes Antonio Ferreira, PhD1, Gregory F. Cooper, MD, PhD1, Shyam Visweswaran, MD, PhD1 1 Department of Biomedical Informatics, University of Pittsburgh, Pi Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Theoretical computer science Search algorithms Cybernetics Decision tree learning Algorithm Clinical decision support system K-nearest neighbor algorithm Sepsis Machine learning Artificial intelligence Medicine
849	On Learning Exclusive-Or of Terms Nader H. Bshouty∗ Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2004-06-13 06:59:50 Analysis of algorithms Time complexity Decision tree model Theoretical computer science Applied mathematics Computational complexity theory
850	Journal of Machine Learning Research[removed] Submitted 10/01; Published 02/02 Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2004-04-06 06:03:38 Computational learning theory Machine learning Models of computation Probably approximately correct learning Decision tree model Normal distribution Function Supervised learning Evolvability Mathematics Applied mathematics Theoretical computer science

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