1062 search results - page 88 / 213 » Sublinear Optimization for Machine Learning |
116
Voted
ICML
2009
IEEE
16 years 3 months 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...
123
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
103
click to vote
ECML
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
131
click to vote
ECML
2003
Springer
15 years 7 months ago
2003
Springer
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
134
click to vote
ICML
2004
IEEE
15 years 7 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...