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Decision tree
Results: 886

#	Item
831	Scoring: The Next Breakthrough in Microcredit? Paper prepared for the Consultative Group to Assist the Poorest Mark Schreiner1 June 11, 2002 Microfinance Risk Management 6970 Chippewa St. #1W, St. Louis, MO[removed], U Add to Reading List Source URL: www.microfinance.com Language: English - Date: 2013-08-10 21:21:57 Microfinance Ethics Social economy Business intelligence Microcredit United Nations Secretariat Decision tree learning Vulnerability Risk Development Statistics Management
832	doi:[removed]j.strusafe[removed] Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2010-03-17 14:01:12 Engineering Systems engineering Risk analysis Structural engineering Design for X Info-gap decision theory Probabilistic risk assessment Robustness Fault tree analysis Reliability engineering Risk Knowledge
833	ANNEX A. FULL INDICATIVE DECISION TREE Assuming an assessment has confirmed a humanitarian need which is consistent with the objective of the applicable decision Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2014-03-06 10:38:01 Humanitarian aid Humanitarian intervention International law Public health Targeting ECHO Global health Health International relations International security
834	Learning from Heterogeneous Sources via Gradient Boosting Consensus Xiaoxiao Shi∗ Abstract Jean-Francois Paiement† Add to Reading List Source URL: david.grangier.info Language: English - Date: 2012-01-08 20:04:39 Decision trees Supervised learning Database Cross-validation Decision tree learning Graph Gradient boosting Flow network Geographic information system Statistics Machine learning Graph theory
835	GBC: Gradient Boosting Consensus Model for Heterogeneous Data Xiaoxiao Shi∗ Jean-Francois Paiement† Add to Reading List Source URL: david.grangier.info Language: English - Date: 2014-05-19 17:20:06 Supervised learning Gradient boosting Decision tree learning Graph Database Geographic information system Cross-validation Learning to rank Flow network Machine learning Artificial intelligence Computational statistics
836	Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey Gordon School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-01-17 12:21:11 Dynamic programming Partially observable Markov decision process Stochastic control Search algorithms Vector space K-d tree Norm Metric tree K-nearest neighbor algorithm Algebra Mathematics Linear algebra
837	Non asymptotic risk bounds for Classification And Regression Trees (CART) classifiers are obtained in the binary supervised classification framework under a margin assumption on the joint distribution of the covariates a Add to Reading List Source URL: www.medical-science.site88.net Language: English - Date: 2013-01-31 20:56:24 Computational statistics Learning Pruning Tree Decision tree learning Supervised learning Statistical classification Binary tree Machine learning Decision trees Artificial intelligence
838	IFR Departure Decision Tree(1) Does your clearance contain a named DP or specific departure headings and altitudes? (1) J. Eckalbar, IFR, A Structured Approach Add to Reading List Source URL: williams.best.vwh.net Language: English - Date: 2004-05-22 16:41:46 Aircraft instruments Air traffic control Avionics
839	Tree Based Hierarchical Reinforcement Learning William T. B. Uther August 2002 CMU-CS[removed] Add to Reading List Source URL: reports-archive.adm.cs.cmu.edu Language: English - Date: 2003-03-11 11:32:52 Mathematical logic Theoretical computer science Markov decision process Reinforcement learning Abstraction Problem solving Statistics Mind Algorithm
840	Nonparametric Forecasting of the Manufacturing Output Growth with Firm-level Survey Data c ` G´erard BIAU a , Olivier BIAU b , and Laurent ROUVIERE Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2013-01-23 11:12:31 Dimension reduction Data mining Data analysis Ensemble learning Random forest Regression analysis Decision tree learning XT Sample Statistics Machine learning Decision trees

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