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Learning To Rank For Information Retrieval And Natural Language Processing, Second Edition

by Hang Li
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language: english
Publisher: Springer International Publishing AG, November of 2014 ‧
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Learning to rank refers to machine learning techniques for training a model in a ranking task. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work

Learning To Rank For Information Retrieval And Natural Language Processing, Second Edition

by Hang Li

Property Description
ISBN: 9783031010279
Publisher: Springer International Publishing AG
Release Date: November of 2014
Language: English
Dimensions: 191 x 235 x 20 mm
Cover: Softcover
Pages: 107
Format: Book
Collection: Synthesis Lectures On Human Language Technologies
Categories: Books in English > Fiction > Linguistics and Philology
EAN: 9783031010279

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