2683 search results - page 133 / 537 » Machine learning problems from optimization perspective |
115
click to vote
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
103
click to vote
NIPS
2007
15 years 3 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
122
Voted
KDD
2008
ACM
16 years 2 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
111
click to vote
IJCAI
1989
15 years 3 months ago
1989
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
143
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...