817 search results - page 6 / 164 » Learning Techniques for Automatic Algorithm Portfolio Select... |
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
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ICML
2009
IEEE
16 years 12 days ago
2009
IEEE
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
115
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IEEEPACT
2008
IEEE
15 years 6 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
ICML
1994
IEEE
15 years 3 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...