27th International Conference on Machine Learning (ICML), Haifa 2010

27th International Conference on Machine Learning (ICML), Haifa 2010

28 Lectures · Jun 21, 2010

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ICML is the leading international machine learning conference, attracting annually some 500 participants from all over the world. ICML is supported by the International Machine Learning Society (IMLS).

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Uploaded videos:

Workshop on Machine Learning Open Source

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06:09

Welcome and Overview of the Workshop on Machine Learning Open Source

Sören Sonnenburg,

Mikio Braun

Jul 20, 2010

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3541 Views

Opening
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53:15

OpenCV

Gary Bradski

Jul 20, 2010

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19253 Views

Invited Talk
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01:05:34

Reproducible Research in Computational Science: Problems and Solutions For Data ...

Victoria Stodden

Jul 20, 2010

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8735 Views

Invited Talk
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22:43

Universal Java Matrix Package

Arndt Holger

Jul 20, 2010

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6425 Views

Lecture
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17:24

Shogun

Sören Sonnenburg

Jul 20, 2010

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4366 Views

Lecture
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13:37

The next steps after UCI - mldata.org

Sören Sonnenburg

Jul 20, 2010

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4317 Views

Lecture
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17:25

Exchanging Software and Data

Sören Sonnenburg

Jul 20, 2010

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3642 Views

Debate
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23:24

Libra

Daniel Lowd

Jul 20, 2010

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3221 Views

Lecture
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15:47

FastInf

Ariel Jaimovich

Jul 20, 2010

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3795 Views

Lecture
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24:47

PyBrain

Tom Schaul,

Thomas Rückstiess,

Frank Sehnke

Jul 20, 2010

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7109 Views

Lecture
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02:26

Jstacs

Andre Gohr

Jul 20, 2010

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3436 Views

Lecture
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01:10

JBlas

Mikio Braun

Jul 20, 2010

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3907 Views

Lecture
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03:18

Scikitlearn

Gaël Varoquaux

Jul 12, 2010

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30427 Views

Lecture
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03:51

Mulan Mulan

Eleftherios Spyromitros - Xioufis

Jul 20, 2010

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5291 Views

Lecture
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05:01

OpenKernel

Cyril Allauzen

Jul 20, 2010

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4738 Views

Lecture
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05:57

MultiBoost

Balázs Kégl

Jul 20, 2010

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4533 Views

Lecture
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03:18

Gidoc

Jesus Andres-Ferrer

Jul 20, 2010

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3296 Views

Lecture
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02:45

Dependency Modelling Toolbox

Leo Lahti

Jul 20, 2010

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3404 Views

Lecture
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12:52

Reproducible research

Sören Sonnenburg,

Mikio Braun

Jul 20, 2010

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3268 Views

Debate

Workshop on Learning in Non-(geo)metric Spaces

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08:43

Introduction and overview of the SIMBAD project

Marcello Pelillo

Jul 20, 2010

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3213 Views

Introduction
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36:09

Clustering without any subjective similarity information

Shai Ben-David

Jul 20, 2010

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4171 Views

Lecture
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38:10

Learning with similarity functions

Maria-Florina Balcan

Jul 20, 2010

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12861 Views

Lecture
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21:22

From collaborative filtering to multitask learning

Alex Smola

Jul 20, 2010

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6225 Views

Lecture
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33:24

On probabilistic hypergraph matching

Amnon Shashua

Jul 20, 2010

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4753 Views

Lecture
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36:22

A metric notion of dimension and its applications to learning

Robert Krauthgamer

Jul 20, 2010

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4311 Views

Lecture
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33:37

Scalable algorithms for learning on graphs

Nicolò Cesa-Bianchi

Jul 20, 2010

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3670 Views

Lecture
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31:23

A note of caution regarding distances on graphs

Ulrike von Luxburg

Jul 20, 2010

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4563 Views

Lecture
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01:03:27

Is non-(geo)metricity an issue for machine learning?

Alex Smola,

Shai Ben-David,

Joachim M. Buhmann,

Edwin Hancock

Jul 20, 2010

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5017 Views

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