1863 search results - page 201 / 373 » A supervised learning approach for imbalanced data sets |
204
click to vote
CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
174
click to vote
ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
170
click to vote
HRI
2009
ACM
16 years 1 months ago
2009
ACM
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...
180
click to vote
PKDD
2004
Springer
15 years 12 months ago
2004
Springer
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
222
click to vote
JMLR
2008
15 years 6 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...