775 search results - page 33 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
BMCBI
2006
13 years 7 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...