150 search results - page 12 / 30 » Adapting two-class support vector classification methods to ... |
NIPS
2001
13 years 9 months ago
2001
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
VLSISP
2010
13 years 6 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
ALMOB
2008
13 years 8 months ago
2008
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...