504 search results - page 74 / 101 » Support Vector Classification with Input Data Uncertainty |
97
Voted
MCS
2005
Springer
15 years 6 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
113
Voted
IJDMB
2007
15 years 14 days ago
2007
: Phylogenetic profiles of proteins strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes have recently been used to id...
98
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
ANOR
2006
15 years 19 days ago
2006
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
162
Voted
VLSISP
2010
14 years 11 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...