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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


Steps Toward the Synthetic Method: Symbolic Information Processing and Self-Organizing Systems in Early Artificial Intelligence Modeling

Roberto Cordeschi

in The Mechanical Mind in History

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262083775
eISBN:
9780262256384
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262083775.003.0010
Subject:
Computer Science, Artificial Intelligence

This chapter focuses on two theories of human cognitive processes developed in the context of cybernetics and early artificial intelligence (AI). The first theory is that of the cyberneticist Donald ... More


Metareasoning: Thinking about Thinking

Michael T. Cox and Anita Raja (eds)

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262014809
eISBN:
9780262295284
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262014809.001.0001
Subject:
Computer Science, Artificial Intelligence

The capacity to think about our own thinking may lie at the heart of what it means to be both human and intelligent. Philosophers and cognitive scientists have investigated these matters for many ... More


Applications of Covariate Shift Adaptation

Masashi Sugiyama and Motoaki Kawanabe

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

Published in print:
2012
Published Online:
September 2013
ISBN:
9780262017091
eISBN:
9780262301220
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262017091.003.0007
Subject:
Computer Science, Machine Learning

This chapter discusses state-of-the-art applications of covariate shift adaptation techniques to various real-world problems. It covers non-stationarity adaptation in brain-computer interfaces; ... More


Future Directions

Philippe Besnard and Anthony Hunter

in Elements of Argumentation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262026437
eISBN:
9780262268400
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262026437.003.0009
Subject:
Computer Science, Artificial Intelligence

This chapter assesses how well the book’s goal—to show that key elements of deductive argumentation can be formalized in logic—has been achieved. It considers some of what is still missing in the ... More


Semisupervised Learning for Machine Translation

Nicola Ueffing, Gholamreza Haffari, and Anoop Sarkar

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0012
Subject:
Computer Science, Machine Learning

This chapter proposes algorithms for semisupervised learning. It translates sentences from the source language and then uses them to retrain the statistical machine translation (SMT) system in the ... More


Encoding Liveness: Performance and Real-Time Rendering in Machinima

David Cameron and John Carroll

in The Machinima Reader

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262015332
eISBN:
9780262295369
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262015332.003.0009
Subject:
Computer Science, Game Studies

This chapter positions machinima within current discussions of liveness in performance studies. It shows that within the incorporeal species that make up the evolving ecology of machinima exists a ... More


Automatic Construction of Multilingual Name Dictionaries

Bruno Pouliquen and Ralf Steinberger

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0003
Subject:
Computer Science, Machine Learning

Machine translation and other natural language processing systems often experience performance loss when processing texts with unknown words, such as proper names. Proper name dictionaries are rare ... More


Kernel-Based Machine Translation

Zhuoran Wang and John Shawe-Taylor

in Learning Machine Translation

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262072977
eISBN:
9780262255097
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262072977.003.0009
Subject:
Computer Science, Machine Learning

This chapter presents a novel framework for machine translation based on kernel ridge regression. As a kernel method, the framework has the advantage of capturing the correspondences among the ... More


Coordinating Agents’ Metalevel Control

Anita Raja, George Alexander, Victor R. Lesser, and Michael Krainin

in Metareasoning: Thinking about Thinking

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262014809
eISBN:
9780262295284
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262014809.003.0013
Subject:
Computer Science, Artificial Intelligence

This chapter presents a generalized metalevel control framework for multiagent systems and discusses the issues involved in extending single-agent metalevel control to a team of cooperative agents ... More


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