Skip to content
Menu Button
Scan a barcode
Scan
My Lists
Scan a barcode
Scan
Give More Get More: Earn bonus points
on every item with orders of 3+ books
Hardcover Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach Book
Share to Facebook
Share to Pinterest
Share to Twitter

ISBN: 0262047071

ISBN13: 9780262047074

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach

(Part of the Adaptive Computation and Machine Learning Series)

by , ,
No Customer Reviews

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.
Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya...

Recommended

Format: Hardcover

Condition: New

$73.70
15 Available
Ships within 4-7 days
Add to Wish List

Related Subjects

Computers Computers & Technology Math Mathematics Science & Math

Customer Reviews

0 rating
Write a review
Trustpilot

Popular Categories

Website

My Account

Partnerships

Quick Help

About Us

ThriftBooks sells millions of used books at the lowest everyday prices. We personally assess every book's quality and offer rare, out-of-print treasures. We deliver the joy of reading in recyclable packaging with free standard shipping on US orders over $15. ThriftBooks.com. Read more. Spend less.

Follow Us

Link to Facebook
Link to Twitter
Link to Pinterest
Link to Tumblr
Link to Instagram
Copyright © 2024 Thriftbooks.com Terms of Use | Privacy Policy | Do Not Sell/Share My Personal Information | Cookie Policy | Cookie Preferences | Accessibility Statement
ThriftBooks® and the ThriftBooks® logo are registered trademarks of Thrift Books Global, LLC
GoDaddy Verified and Secured