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  Discrete vs. Continuous: Two Sides of Machine Learning

Zhou, D. (2004). Discrete vs. Continuous: Two Sides of Machine Learning. Talk presented at Department of Computer Science, and the Center of Computational Learning Systems: Columbia University. New York, NY, USA. 2004-10-18.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B46B-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-66E5-6
Genre: Talk

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 Creators:
Zhou, D1, 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, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Dates: 2004-10
 Publication Status: Published online
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 Identifiers: BibTex Citekey: 2901
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Title: Department of Computer Science, and the Center of Computational Learning Systems: Columbia University
Place of Event: New York, NY, USA
Start-/End Date: 2004-10-18

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