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  Analysis of Benchmarks

Chapelle, O., Schölkopf, B., & Zien, A. (2006). Analysis of Benchmarks. In O. Chapelle, B. Schölkopf, & A. Zien (Eds.), Semi-Supervised Learning (pp. 377-393). Cambridge, MA, USA: MIT Press.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-9CF7-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-9D41-2
Genre: Book Chapter

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 Creators:
Chapelle, O1, 2, Author              
Schölkopf, B1, 2, Author              
Zien, A1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: This chapter assesses the strengths and weaknesses of different semi-supervised learning (SSL) algorithms through inviting the authors of each chapter in this book to apply their algorithms to eight benchmark data sets. These data sets encompass both artificial and real-world problems. Details are provided on how the algorithms were applied, especially how hyperparameters were chosen given the few labeled points. Finally, the chapter concludes by presenting and discussing the empirical performance.

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 Dates: 2006
 Publication Status: Published in print
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Title: Semi-Supervised Learning
Source Genre: Book
 Creator(s):
Chapelle, O1, Editor            
Schölkopf, B1, Editor            
Zien, A1, Editor            
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: 508 Volume / Issue: - Sequence Number: 21 Start / End Page: 377 - 393 Identifier: ISBN: 0-262-03358-5