81 search results - page 15 / 17 » The baldwin effect in developing neural networks |
MM
2004
ACM
14 years 9 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
AAAI
2007
13 years 9 months ago
2007
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
BMCBI
2010
13 years 7 months ago
2010
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
BMCBI
2006
13 years 7 months ago
2006
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...