ML in Bioinformatics

author: Florence d'Alche-Buc, Université Evry Val d'Essonne
published: Oct. 30, 2007,   recorded: July 2007,   views: 13019

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After a brief introduction to the use of machine learning in computational biology, we focus on the problem of biological networks inference. We define the problem as a problem of kernel learning using prediction in kernelized output spaces. Methods based on Output kernel Tree are presented to solve the problem. Results on two benchmarks are shown.

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Comment1 vijayakumari, January 30, 2009 at 12:39 p.m.:

It's knowledgible about these vedeo lectures, but how to download them for viewing offline.Awaiting reply

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You can grab these videos with only one software "Replay Media Catcher". It is a proprietary software. But you can download the cracked version from "". But can't download these videos unless and otherwise you have a good streaming & a high bandwidth. Each of these lectures take 150-309 Mb. Almost impossible; because, even a small interruption can ruin your download...!!

Comment3 machine_learner, September 3, 2009 at 11:47 a.m.:

Slides of presentation are not visible in video and are not available for download, so it's hard to follow lecture.

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