409 search results - page 53 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
135
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
145
Voted
APBC
2003
15 years 5 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
137
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
111
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ISNN
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
142
Voted
IEAAIE
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...