716 search results - page 45 / 144 » Optimizing Sorting with Machine Learning Algorithms |
106
click to vote
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
117
click to vote
ICML
1997
IEEE
16 years 2 months ago
1997
IEEE
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
ECML
1998
Springer
15 years 6 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
127
click to vote
JMLR
2010
14 years 8 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
111
click to vote
ALT
2008
Springer
15 years 11 months ago
2008
Springer
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...