Using genetic programming for the induction of oblique decision trees
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- @InProceedings{Shali:2007:ICMLA,
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author = "Amin Shali and Mohammad Reza Kangavari and
Bahareh Bina",
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title = "Using genetic programming for the induction of oblique
decision trees",
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booktitle = "Sixth International Conference on Machine Learning and
Applications, ICMLA 2007",
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year = "2007",
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month = dec,
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pages = "38--43",
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address = "Cincinnati",
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, genetically
induced oblique decision tree algorithm, internal node,
oblique decision trees, optimal testing criterion,
decision trees",
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isbn13 = "978-0-7695-3069-7",
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URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4457205",
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DOI = "doi:10.1109/ICMLA.2007.66",
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size = "6 pages",
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abstract = "we present a genetically induced oblique decision tree
algorithm. In traditional decision tree, each internal
node has a testing criterion involving a single
attribute. Oblique decision tree allows testing
criterion to consist of more than one attribute. Here
we use genetic programming to evolve and find an
optimal testing criterion in each internal node for the
set of samples at that node. This testing criterion is
the characteristic function of a relation over existing
attributes. We present the algorithm for construction
of the oblique decision tree. We also compare the
results of our proposed oblique decision tree with the
one of C4.5 algorithm.",
-
notes = "Also known as \cite{4457205}",
- }
Genetic Programming entries for
Amin Shali
Mohammad Reza Kangavari
Bahareh Bina
Citations