127 search results - page 14 / 26 » Mining Complex Time-Series Data by Learning Markovian Models |
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
PKDD
2004
Springer
14 years 29 days ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
PKDD
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...