1130 search results - page 38 / 226 » Feature Selection for Complex Patterns |
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IBPRIA
2005
Springer
15 years 5 months ago
2005
Springer
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
JMLR
2010
14 years 6 months ago
2010
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
ILP
2004
Springer
15 years 5 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
AAAI
2000
15 years 1 months ago
2000
A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts' decision...
CIBCB
2006
IEEE
15 years 1 months ago
2006
IEEE
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....