5138 search results - page 9 / 1028 » Low-Entropy Set Selection. |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
A design process is presented for the selection of a set of instruction set extensions for the PowerPC 405 processor that is embedded into the Xilinx Virtex Family of FPGAs. The i...
EWCBR
2006
Springer
13 years 11 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
AUSAI
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches
PRL
2007
13 years 7 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...