Bandits for Taxonomies: A Model-based Approach Sandeep Pandey

First Page		Document Content
Date: 2007-01-18 12:51:31 Statistical inference Shrinkage estimator Least squares Machine learning Estimator Reinforcement learning Mean squared error Sampling Multi-armed bandit Statistics Estimation theory Statistical theory		Bandits for Taxonomies: A Model-based Approach Sandeep Pandey Add to Reading List Source URL: www.cs.cmu.edu Download Document from Source Website File Size: 208,93 KB Share Document on Facebook

	CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422 DocID: 1rftp - View Document
	Luís Fernando Raínho Alves Torgo INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS DocID: 1r7dT - View Document
	Why NRMSE is not completly reliable for forecast/hindcast model test performances DocID: 1qKus - View Document
	ESTIMATION OF REPRODUCTIVE RATES OF BURROWING OWLS LEAH R. GORMAN,1 Oregon Cooperative Wildlife Research Unit, Department of Fisheries and Wildlife, Oregon State University, Corvallis, ORUSA DANIEL K. ROSENBERG,2 DocID: 1qCeY - View Document
	Variogram estimation in the presence of trend DocID: 1q87y - View Document