904 search results - page 104 / 181 » Machine learning for stock selection |
TCBB
2010
13 years 7 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
INFORMS
1998
13 years 8 months ago
1998
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
PRL
2010
13 years 7 months ago
2010
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
COLING
1992
13 years 10 months ago
1992
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...