305 search results - page 33 / 61 » Smoothing of Chemical Analysis Data by Neural Networks |
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
IJON
2006
13 years 7 months ago
2006
A novel neural network technique for nonnegative independent component analysis is proposed in this letter. Compared with other algorithms, this method can work efficiently even w...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
NN
2008
Springer
13 years 7 months ago
2008
Springer
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...