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| Document Type
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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148918
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| Doc. No
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ET20710
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| Main Entry
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Prashanth hdundkur
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| Title Proper
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A Computational Framework for Inverse Queries in Statistical Learning Problems
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| Note
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This document is digital این مدرک بصورت الکترونیکی می باشد
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| Abstract
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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-.
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| Subject
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Electericl tess
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برق
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| electronic file name
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TL43850.pdf
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| Title and statement of responsibility and
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A Computational Framework for Inverse Queries in Statistical Learning Problems [Thesis]
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http://lib.khuisf.ac.ir/site/catalogue/148918
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