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.
Opening | ||||
Panel | ||||
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 | ||||
somos de monterrey n.l. nesecitamos ayuda para el transporte a los angeles somos un grupo de ciegos y deviles visuales
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,
For what it's worth, I'll second the request for Risi Kondor's tutorial. Thanks!
Hi,
Is it possible that we can find other tutorial vidoes such as "Tensor Methods for
Machine Learning, Computer Vision, and Computer
Graphics"? Thx!