40 search results - page 4 / 8 » Improving GP classification performance by injection of deci... |
TCBB
2010
13 years 1 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
IDEAL
2000
Springer
13 years 10 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
IEAAIE
2004
Springer
13 years 11 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...
ICAS
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
IGARSS
2010
13 years 1 months ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...