63 search results - page 1 / 13 » Using J-pruning to reduce overfitting in classification tree... |
KBS
2002
13 years 5 months ago
2002
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
DIS
2008
Springer
13 years 7 months ago
2008
Springer
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
SGAI
2010
Springer
13 years 3 months ago
2010
Springer
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
BMCBI
2011
13 years 8 days ago
2011
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
IJBRA
2007
13 years 5 months ago
2007
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...