604 search results - page 82 / 121 » Regularization and feature selection for networked features |
137
Voted
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
130
Voted
VIS
2005
IEEE
16 years 5 months ago
2005
IEEE
High resolution volumes require high precision compositing to preserve detailed structures. This is even more desirable for volumes with high dynamic range values. After the high ...
133
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
163
Voted
JMLR
2008
15 years 3 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
159
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BMCBI
2011
14 years 7 months ago
2011
Background: One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function. Results:...