605 search results - page 7 / 121 » Improving Generalization Performance in Co-Evolutionary Lear... |
ICML
2007
IEEE
16 years 13 days ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
UAI
2004
15 years 1 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
112
Voted
CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
108
click to vote
ESANN
2006
15 years 1 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
99
Voted
SSPR
1998
Springer
15 years 3 months ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...