63 search results - page 2 / 13 » Learning Interpretable SVMs for Biological Sequence Classifi... |
IJDMB
2008
13 years 5 months ago
2008
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...
JMLR
2006
13 years 5 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
BMCBI
2010
13 years 5 months ago
2010
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
SDM
2011
SIAM
12 years 8 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
JCB
2002
13 years 5 months ago
2002
Accurately estimating probabilities from observations is important for probabilistic-based approaches to problems in computational biology. In this paper we present a biologically...