2252 search results - page 297 / 451 » A distributed machine learning framework |
ICML
2009
IEEE
15 years 7 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
106
click to vote
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
CHI
2006
ACM
16 years 1 months ago
2006
ACM
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
107
click to vote
COLT
1999
Springer
15 years 5 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
PKDD
2005
Springer
15 years 6 months ago
2005
Springer
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...