£72.56

Springer Modeling Intention in Email: Speech Acts, Information Leaks and Recommendation Models: 349 (Studies in Computational Intelligence, 349)

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Description

This book applies sophisticated machine learning techniques to a large body of email data. It presents techniques that can positively impact work-related email communication and offers robust models that may be applied to future machine learning tasks. Review From the reviews:“The targeted audience consists mainly of computer scientists, either researchers in machine learning or professionals who use email services in their work. The book would also be useful in education, especially to generate assignments for advanced students. Readers should have a machine learning background, but in general this monograph is easily readable. It provides a brief but comprehensive introduction to the peculiarities of email problems and the appropriate methods for addressing them. The updated bibliography and related work sections are useful for further study.” (Lefteris Angelis, ACM Computing Reviews, June, 2012)

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 May 2013
Listed Since
23 May 2013

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