The Weighted Majority Algorithm

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The Weighted Majority Algorithm

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Author : Nick Littlestone
language : en
Publisher:
Release Date : 1991

The Weighted Majority Algorithm written by Nick Littlestone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computer algorithms categories.

Abstract: "We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be made in each, and the goal of the learner is to make few mistakes. We are interested in the case that the learner has reason to believe that one of some pool of known algorithms will perform well, but the learner does not know which one. A simple and effective method, based on weighted voting, is introduced for constructing a compound algorithm in such a circumstance. We call this method the Weighted Majority Algorithm. We show that this algorithm is robust in the presence of errors in the data. We discuss various versions of the Weighted Majority Algorithm and prove mistake bounds for them that are closely related to the mistake bounds of the best algorithms of the pool. For example, given a sequence of trials, if there is an algorithm in the pool A that makes at most m mistakes then the Weighted Majority Algorithm will make at most c(log[absolute value of A]+m) mistakes on that sequence, where c is fixed constant."

The Weighted Majority Algorithm

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Author : Nick Littlestone
language : en
Publisher:
Release Date : 1989

The Weighted Majority Algorithm written by Nick Littlestone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Algorithms categories.

For example, given a sequence of trials, if there is an algorithm in the pool A that makes at most m mistakes then the Weighted Majority Algorithm will make at most c(log [absolute value of A] + m) mistakes on that sequence, where c is fixed constant."

Average And Worst Case Comparisons Of Bayes Optimal Algorithms And The Weighted Majority Algorithm

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Author : Keith Messer
language : en
Publisher:
Release Date : 1996

Average And Worst Case Comparisons Of Bayes Optimal Algorithms And The Weighted Majority Algorithm written by Keith Messer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Algorithms categories.

Learning Binary Relations Using Weighted Majority Voting

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Author : Sally Ann Goldman
language : en
Publisher:
Release Date : 1993

Learning Binary Relations Using Weighted Majority Voting written by Sally Ann Goldman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Binary system (Mathematics) categories.

A Dynamic Weighted Majority Algorithm Based On Dynamic Data Driven Application System Based A Case Study Of Concept Drift

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Author :
language : en
Publisher:
Release Date : 2014

A Dynamic Weighted Majority Algorithm Based On Dynamic Data Driven Application System Based A Case Study Of Concept Drift written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.

1994 Ieee International Conference On Systems Man And Cybernetics

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Author :
language : en
Publisher:
Release Date : 1994

1994 Ieee International Conference On Systems Man And Cybernetics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Cybernetics categories.

Proceedings Of The Annual Acm Conference On Computational Learning Theory

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Author :
language : en
Publisher:
Release Date : 1999

Proceedings Of The Annual Acm Conference On Computational Learning Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Machine learning categories.

Proceedings Of The Second Workshop On Computational Learning Theory

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Author : Ronald L. Rivest
language : en
Publisher: Morgan Kaufmann
Release Date : 1989

Proceedings Of The Second Workshop On Computational Learning Theory written by Ronald L. Rivest and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.

Using Multiple Experts To Perform File Prediction

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Author : Karl S. Brandt
language : en
Publisher:
Release Date : 2004

Using Multiple Experts To Perform File Prediction written by Karl S. Brandt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Algorithms categories.

3rd Ieee International Conference On Data Mining

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Author : Xindong Wu
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2003

3rd Ieee International Conference On Data Mining written by Xindong Wu and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.

ICDM '03 brings together researchers and practitioners who describe their original research results and practical development experiences in Data Mining technology. The papers explore subjects in many related data-mining areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases, data warehousing, data visualization, and knowledge-based systems. Data mining is an emerging and highly interdisciplinary field. The ICDM '03 proceedings cover a broad and diverse range of topics related to data-mining theory, systems, and applications.