2623 search results - page 156 / 525 » Universal Learning Theory |
153
click to vote
ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
134
click to vote
AAAI
2008
15 years 6 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
166
click to vote
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
142
click to vote
CORR
2000
Springer
15 years 4 months ago
2000
Springer
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
155
click to vote
CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...