2683 search results - page 262 / 537 » Machine learning problems from optimization perspective |
107
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
129
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
118
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
150
Voted
NIPS
2007
15 years 4 months ago
2007
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
119
Voted
ALT
2010
Springer
15 years 5 months ago
2010
Springer
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric against an oblivious adversary. Restricting our attenti...