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In this paper, we study neural network ensembles (NNE) classifier with regularized negative correlation learning (RNCL) and its application to pattern classification. In RNCL algorithm, the regularization parameter is used to control the trade off between mean square error and regularization, and to improve the ensemble's generalization ability. We propose an automatic RNCL algorithm based on gradient...
In this study, we investigated the relation between two popular classifier performance measures: area under the receiver operator characteristic curve and overall accuracy. We also evaluated the impact of class imbalance and number of examples in test set on this relation. We perform a set of experiments in which we train multiple neural networks and test them in various, well controlled conditions...
Text classification is an active research area in information retrieval and natural language processing. A fundamental tool in text classification is a list of 'stop' words(stop word list) that is used to identify frequent words that are unlikely to assist in classification and hence are deleted during pre-processing. Till now, many stop word lists have been developed for English language. However,...
There have been a number of techniques developed for the prediction of protein structural classes, however, they show various degrees of accuracies over different assessment procedures and, in particular, the role of sequence-driven-features (SDF) not rigorously investigated. Therefore, the aim of this study is to carry out the largest comprehensive and consistent investigation on approximately 1500...
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