A Computational Framework for Inverse Queries in Statistical Learning Problems

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" A Computational Framework for Inverse Queries in Statistical Learning Problems "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148918
Doc. No	:	ET20710
Main Entry	:	Prashanth hdundkur
Title Proper	:	A Computational Framework for Inverse Queries in Statistical Learning Problems
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This dissertation addresses the problem of inverting the nonlinear functionsthat arise in solutions to statistical learning problems. Such problems arise wheninverse queries need to be answered.To provide background for the kinds of inverse queries that can arise in learning,we first briefly present, as examples of the forward problem, the three most com-mon learning problems arising in applications, viz. regression estimation, densityestimation and pattern recognition. These learning problems are usually formu-.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43850.pdf
Title and statement of responsibility and	:	A Computational Framework for Inverse Queries in Statistical Learning Problems [Thesis]