Feature selection using sequential forward selection and classification applying artificial metaplasticity neural network
A Marcano-Cedeño… - IECON 2010-36th …, 2010 - ieeexplore.ieee.org
The feature selection has been widely used to reduce the data dimensionality. Data
reduction improve the classification performance, the approximation function, and pattern …
reduction improve the classification performance, the approximation function, and pattern …
On covering rough set based attribute reduction
C Wang, W Du - 2010 Second WRI Global Congress on …, 2010 - ieeexplore.ieee.org
In this paper, we first define the concepts of covering decision systems and their reducts. We
then develop a sufficient and necessary condition for attribute reduction and construct the …
then develop a sufficient and necessary condition for attribute reduction and construct the …
Sales resource management training: A guide to developing effective salespeople
J Wang, N Lee, A Timothy - 2010 3rd International Conference …, 2010 - ieeexplore.ieee.org
This paper adopts a sales resource management (SRM) framework to provide guidance on
how to develop effective salespeople via sales training. SRM can be used to identify the …
how to develop effective salespeople via sales training. SRM can be used to identify the …
Statistical modeling for simultaneous data clustering, features selection, and outliers rejection
K Almakadmeh - 2010 - spectrum.library.concordia.ca
Model-based approaches and in particular finite mixture models are widely used for data
clustering, which is a crucial step in several applications of practical importance. Indeed …
clustering, which is a crucial step in several applications of practical importance. Indeed …