Learning with Partially Labeled and Interdependent Data free ebook download.

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Learning with Partially Labeled and Interdependent Data free ebook download

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Catalogue

Author(s):	Massih-Reza Amini, Nicolas Usunier

Date:	May 8, 2015	Format:	pdf	Language:	English	ISBN/ASIN:	3319157256
Pages:	106	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	5/7/2019 10:13:59 AM

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This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. 
The book traces how the semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, leading to a massive production of heterogeneous textual data. It explains how semi-supervised learning techniques are widely used, but only allow a limited analysis of the information content and thus do not meet the demands of many web-related tasks.
Later chapters deal with the development of learning methods for ranking entities in a large collection with respect to precise information needed. In some cases, learning a ranking function can be reduced to learning a classification function over the pairs of examples. The book proves that this task can be efficiently tackled in a new framework: learning with interdependent data.
Researchers and professionals in machine learning will find these new perspectives and solutions valuable. Learning with Partially Labeled and Interdependent Data is also useful for advanced-level students of computer science, particularly those focused on statistics and learning.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2487346	Book	http://nitroflare.com/view/FE6BBE166AD5D...		1.75	alex21s

Tags: Data Interdependent Labeled Learning Partially

Title	Link	Password	Size	Reason

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