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Freshwater ecosystems face numerous anthropogenic stressors. For solving long-term effects in aquatic ecosystems due to the human-induced actions, we need to use benthic macro invertebrates instead of a chemical analysis. The use of benthic macro invertebrates requires their identification which is a laborius and cost-intensive task. By means of automated taxa identification of macro invertebrates...
We investigate the utility of a novel form of prior, namely the accuracies with which humans categorize briefly displayed images. Such information reflects the complexity of an image for the visual system and carries information about the features important for categorization. We incorporate the prior in an SVM framework, by biasing the decision boundary towards examples difficult for humans, and...
Microarray is an important tool in gene analysis research. It can help identify genes that might cause various cancers. In this paper, we use feature selection methods and the support vector machine (SVM) to search for the disease-causing genes in microarray data of three different cancers. The feature selection methods are based on Euclidian distance (ED) and Pearson correlation coefficient(PCC)...
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