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A Cross Entropy Algorithm for Classification with $\delta$−Patterns
Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities, DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities (2006).

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A classification strategy based on $\delta$-patterns is developed via a combinatorial optimization problem related with the maximal clique generation problem on a graph. The proposed solution uses the cross entropy method and has the advantage to be particularly suitable for large datasets. This study is tailored for the particularities of the genomic data. 
@article{DMTCS_2006_special_252_a9,
     author = {Alexe, Gabriela and Bhanot, Gyan and Climescu-Haulica, Adriana},
     title = {A {Cross} {Entropy} {Algorithm} for {Classification} with $\delta${\ensuremath{-}Patterns}},
     journal = {Discrete mathematics & theoretical computer science},
     publisher = {mathdoc},
     volume = {DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities},
     year = {2006},
     doi = {10.46298/dmtcs.3485},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.46298/dmtcs.3485/}
}
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%A Climescu-Haulica, Adriana
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%J Discrete mathematics & theoretical computer science
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Alexe, Gabriela; Bhanot, Gyan; Climescu-Haulica, Adriana. A Cross Entropy Algorithm for Classification with $\delta$−Patterns. Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities, DMTCS Proceedings vol. AG, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities (2006). doi : 10.46298/dmtcs.3485. http://geodesic.mathdoc.fr/articles/10.46298/dmtcs.3485/

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