63 search results - page 5 / 13 » Learning Interpretable SVMs for Biological Sequence Classifi... |
BMCBI
2005
13 years 6 months ago
2005
Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
CSL
2006
Springer
13 years 6 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
IDA
1998
Springer
13 years 6 months ago
1998
Springer
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
ESWA
2006
13 years 6 months ago
2006
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...