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Improving Performance of Classifiers using Rotational Feature Selection Scheme
Bhowmick, Shib Sankar; Saha, Indrajit; Rato, Luis; Bhattacharjee, DebotoshThe crucial points in machine learning research are that how to develop new classification methods with strong mathematic background and/or to improve the performance of existing methods. Over the past few decades, researches have been working on these issues. Here, we emphasis the second point by improving the performance of well-known supervised classifiers like Naive Bayesian, Decision Tree and k-Nearest Nei...
RotaSVM: A New Ensemble Classifier
Bhowmick, Shib Sankar; Saha, Indrajit; Rato, Luis; Bhattacharjee, DebotoshIn this paper, an ensemble classifier, namely RotaSVM, is proposed that uses recently developed rotational feature selection approach and Support Vector Machine classifier cohesively. The RotaSVM generates the number of predefined outputs of Support Vector Machines. For each Support Vector Machine, the training data is generated by splitting the feature set randomly into S subsets. Subsequently, principal compo...
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