63 search results - page 1 / 13 » Using J-pruning to reduce overfitting in classification tree... |
KBS
2002
14 years 9 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
14 years 12 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...
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SGAI
2010
Springer
14 years 8 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
14 years 5 months 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
14 years 10 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...