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AD-SVMs: A light extension of SVMs for multicategory classification
TLDR
In this paper, we propose an extension of SVMs for multicategory classification which generalizes this geometric formulation to the multicategory case. Expand
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A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine
TLDR
A Sequential Minimal Optimization-like algorithm is proposed to train the All-Distances SVM, making large problems abordable. Expand
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Bioinformatics Integration Framework for Metabolic Pathway Data-Mining
TLDR
This paper investigates the problem of integrating heterogeneous applications and databases towards providing a more efficient data-mining environment for bioinformatics research. Expand
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Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining
TLDR
This paper describes a neural network based inference system developed as part of a bioinformatic application in order to help implement a systematic search scheme for the identification of genes which encode enzymes of metabolic pathways. Expand
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Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
TLDR
We propose using a GA with a dynamic penalty function to manage the rule size of the fuzzy inference system (FIS). Expand
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Meta-learning Based Optimization of Metabolic Pathway Data-Mining Inference System
TLDR
This paper describes a novel meta-learning (MTL) based methodology used to optimize a neural network based inference system for the identification of genes which encode enzymes of metabolic pathways. Expand
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Inference system using softcomputing and mixed data applied in metabolic pathway datamining
TLDR
This paper describes the development of an inference system used for the identification of genes that encode enzymes of metabolic pathways. Expand
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Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes
TLDR
In this paper, we study a single objective extension of support vector machines for multicategory classification. Expand
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