126 search results - page 11 / 26 » Finding low-entropy sets and trees from binary data |
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ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
RECOMB
2006
Springer
15 years 9 months ago
2006
Springer
We study the problem of enumerating substrings that are common amongst genomes that share evolutionary descent. For example, one might want to enumerate all identical (therefore co...
VMV
2001
14 years 11 months ago
2001
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
BMCBI
2010
14 years 9 months ago
2010
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...