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ICML 2007 - Corvallis   

24th Annual International Conference on Machine Learning (ICML), Corvallis 2007

The 24th Annual International Conference on Machine Learning was held in conjunction with the 2007 International Conference on Inductive Logic Programming at Oregon State University in Corvallis, Oregon. As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive.

Visit the Conference website here.


Event sections

Tutorials Workshop  



[syn]  4582 views, 15:38  
Prasad Tadepalli, Pedro Domingos, et al. Prasad Tadepalli, Pedro Domingos, Thomas Dietterich, Lise Getoor, Bernhard Pfahringer
votesvotesvotesvotesvotes [syn]  9017 views, 1:12:00  
flagILP Invited Panel - Structured Machine Learning: The Next 10 YearsILP Invited Panel - Structured Machine Learning: The Next 10 ...
Thomas Dietterich, Pedro Domingos, et al. Thomas Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Bernhard Pfahringer
comments4 comments 

Invited talks

Metric Learning

Relational Learning and ILR

Networks and Graphs

Vision, Graphics and Robotics

Large-scale Optimization

Language, Topic Modelling and Hierarchies

Metric Learning II

Reviews and comments:

Comment1 arturo gallegos, July 2, 2007 at 10:14 p.m.:

somos de monterrey n.l. nesecitamos ayuda para el transporte a los angeles somos un grupo de ciegos y deviles visuales

Comment2 reza, July 4, 2007 at 2:35 a.m.:

hi there,

many thanks for making the videos available. i would appreciate if you also put the tutorial on "group theoretic approaches to machine learning" by risi kondor.

best regards,

Comment3 Michael Rabbat, October 25, 2007 at 11:03 p.m.:

For what it's worth, I'll second the request for Risi Kondor's tutorial. Thanks!

Comment4 Bo Liu, April 8, 2013 at 12:01 a.m.:


Is it possible that we can find other tutorial vidoes such as "Tensor Methods for
Machine Learning, Computer Vision, and Computer
Graphics"? Thx!

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