548 search results - page 82 / 110 » Iterated importance sampling in missing data problems |
106
click to vote
ANNPR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
138
Voted
CLADE
2008
IEEE
15 years 5 months ago
2008
IEEE
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
SDM
2007
SIAM
15 years 9 days ago
2007
SIAM
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
99
Voted
EUROGP
2004
Springer
15 years 4 months ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...