30 search results - page 1 / 6 » Comparison of Algorithmic and Machine Learning Approaches fo... |
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
NIPS
2008
13 years 9 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
IJCAI
2003
13 years 8 months ago
2003
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...