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Dataset Shift in Machine Learning

Dataset Shift in Machine Learning

Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence (eds)

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262170055
eISBN:
9780262255103
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262170055.001.0001
Subject:
Computer Science, Machine Learning

Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of ... More

Learning Machine Translation

Learning Machine Translation

Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (eds)

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.001.0001
Subject:
Computer Science, Machine Learning

The Internet gives us access to a wealth of information in languages we don’t understand. The investigation of automated or semi-automated approaches to translation has become a thriving research ... More

Machine Learning in Non-Stationary EnvironmentsIntroduction to Covariate Shift Adaptation

Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

Masashi Sugiyama and Motoaki Kawanabe

Published in print:
2012
Published Online:
September 2013
ISBN:
9780262017091
eISBN:
9780262301220
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262017091.001.0001
Subject:
Computer Science, Machine Learning

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the ... More

Semi-Supervised Learning

Semi-Supervised Learning

Olivier Chapelle, Bernhard Scholkopf, and Alexander Zien (eds)

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.001.0001
Subject:
Computer Science, Machine Learning

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in ... More

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