76 search results - page 9 / 16 » Neural networks for data mining: constrains and open problem... |
NN
2006
Springer
13 years 8 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...