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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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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URL = "
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4457205",
-
DOI = "
doi:10.1109/ICMLA.2007.66",
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abstract = "In this paper, 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