554 search results - page 37 / 111 » Variable selection using neural-network models |
CCECE
2006
IEEE
15 years 3 months ago
2006
IEEE
— Human arm dynamics can be used for control of human-machine interfaces in haptic applications. In this paper, a novel method for online estimation of human operator elbow imped...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
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ESEM
2007
ACM
15 years 1 months ago
2007
ACM
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...