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ICML 2010 - Haifa   

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

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).

More about the conference at ICML 2010


Workshop on Machine Learning Open Source

The main goal of this workshop is to bring the main practitioners in the area of machine learning open source software together in order to initiate processes which will help to further improve the development of this area. In particular, we have to move beyond a mere collection of more or less unrelated software projects and provide a common foundation to stimulate cooperation and interoperability between different projects. An important step in this direction will be a common data exchange format such that different methods can exchange their results more easily.

votesvotesvotesvotesvotes [syn]  3571 views, 53:15   Invited Talk
Gary Bradski Gary Bradski
comments2 comments 
[syn]  279 views, 17:24  
Sören Sonnenburg Sören Sonnenburg
[syn]  116 views, 15:47  
Ariel Jaimovich Ariel Jaimovich
votesvotesvotesvotesvotes 843 views, 24:47  
Tom Schaul, Thomas Rückstiess, Frank Sehnke Tom Schaul, Thomas Rückstiess, Frank Sehnke
votesvotesvotesvotesvotes [syn]  477 views, 03:50  
flagMulan MulanMulan Mulan
Eleftherios Spyromitros - Xioufis Eleftherios Spyromitros - Xioufis
comments1 comment 
85 views, 03:18  
Jesus Andres-Ferrer Jesus Andres-Ferrer
60 views, 12:51  
flagReproducible researchReproducible research
Sören Sonnenburg, Mikio Braun Sören Sonnenburg, Mikio Braun

Workshop on Learning in Non-(geo)metric Spaces

The aim of this workshop is to consolidate research efforts in this area, and to provide an informal discussion forum for researchers and practitioners interested in this important yet diverse subject. The discussion will revolve around two main themes, which basically correspond to the two fundamental questions that arise when abandoning the realm of vectorial, feature-based representations, namely:

  • How can one obtain suitable similarity information from data representations that are more powerful than, or simply different from, the vectorial?
  • How can similarity information be used in order to perform learning and classification tasks?
227 views, 1:03:27  
flagIs non-(geo)metricity an issue for machine learning?Is non-(geo)metricity an issue for machine learning?
Shai Ben-David, Edwin Hancock, et al. Shai Ben-David, Edwin Hancock, Alexander J. Smola, Joachim M. Buhmann

Reviews and comments:

Comment1 Mike, July 21, 2010 at 7:41 p.m.:

Where are rest of the talks? Why is there only workshops?

Comment2 Weiwei, July 22, 2010 at 1:07 a.m.:

I think only the invited talks at ICML2010 were recorded by IBM Research at Haifa. It seems the sessions at the main conference, as well as the tutorials, were not recorded due to budget concerns. Some of the workshops were recorded due to the arrangement of their organizers, I guess.

Comment3 Rocky, July 31, 2010 at 4:35 a.m.:

does record conference or tutorials need a lot of money? I don't think so.

Comment4 beenThere, August 10, 2010 at 4:56 p.m.:

I don't know why but the conference sessions, tutorials and invited talks were not covered. Only some of the (joint ICML/COLT) workshops were filmed

Comment5 Weicheng, December 28, 2010 at 12:29 a.m.:

I wish we can access more conference sessions....

Comment6 Alexi, February 3, 2011 at 1:15 p.m.:

Where are the tutorials? This is really frustrating...

Comment7 Weiwei, October 26, 2015 at 6:36 p.m.:

@Rocky Yes, recording by is very expensive.

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