2712 search results - page 216 / 543 » On learning algorithm selection for classification |
173
click to vote
STOC
2003
ACM
16 years 7 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
182
Voted
MCS
2009
Springer
16 years 1 months ago
2009
Springer
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
180
click to vote
NECO
2007
15 years 6 months ago
2007
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
237
click to vote
ICDM
2005
IEEE
16 years 20 days ago
2005
IEEE
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
192
click to vote
ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...