2252 search results - page 5 / 451 » Improving Random Forests |
114
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BMCBI
2010
14 years 9 months ago
2010
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
IJAR
2010
14 years 8 months ago
2010
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
FUIN
2010
14 years 4 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
ILP
2004
Springer
15 years 3 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...
179
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AAIM
2011
Springer
14 years 1 months ago
2011
Springer
A star forest is a collection of vertex-disjoint trees of depth at most 1, and its size is the number of leaves in all its components. A spanning star forest of a given graph G is ...