# Machine Learning from Weak Supervision

Canonical: https://www.bookquiver.com/masashi-sugiyama/machine-learning-from-weak-supervision

![Machine Learning from Weak Supervision](https://quivercdn.com/covers/the-mit-press/masashi-sugiyama/machine-learning-from-weak-supervision_978-02-6204-707-4.jpg?v=2026-06-04%2012%3A51%3A01)

- Authors: [Masashi Sugiyama](https://www.bookquiver.com/masashi-sugiyama), [Han Bao](https://www.bookquiver.com/han-bao), [Takashi Ishida](https://www.bookquiver.com/takashi-ishida), [Nan Lu](https://www.bookquiver.com/nan-lu), [Tomoya Sakai](https://www.bookquiver.com/tomoya-sakai)
- Language: en_US
- Published: 2022-08-23

## Description

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard machine learning techniques require large amounts...

## Editions

### Machine Learning from Weak Supervision

- Publisher: the_mit_press
- ISBN: 978-02-6204-707-4
- Pages: 320
- Published: 2022-08-23
- Language: en_US