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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149435
Doc. No : ET21227
Main Entry : Ion Alexandru Muslea
Title Proper : ACTIVE LEARNING WITH MULTIPLE VIEWS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Labeling training data for machine learning algorithms is tedious, time consuming, anderror prone. Consequently, it is of utmost importance to minimize the amount of labeleddata that is required to learn a target concept. In the work presented here, I focus onreducing the need for labeled data in multi-view learning tasks. The key characteristic ofmulti-view learning tasks is that the target concept can be independently learned withindifferent views.
Subject : Electericl tess
: برق
electronic file name : TL44381.pdf
Title and statement of responsibility and : ACTIVE LEARNING WITH MULTIPLE VIEWS [Thesis]
 
 
 
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