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Regarding information technologies, transnational education has to face several challenges in order to offer a suitable education for computer science students worldwide. Software tools, and specially open source ones, give to the students the possibility of experiment with the most known techniques in the area. Among them, the KEEL software tool can be highlighted as a versatile framework for understanding...
Clustering is a method of unsupervised learning, and a common technique for statistical data analysis used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics a novel algorithm based on clustering to extract rules from neural networks is proposed. After neural networks have been trained and pruned successfully, inner-rules are generated by...
In order to solve the data scarcity problem, this paper presented a co-training style method for biomedical named entity recognition. We proposed a novel selection method for tri-training learning, using three classifiers: CRFs,SVMs and ME. In tri-training process, we select new newly labeled samples based on the selection model maximizing training utility, and compute the agreement according to the...
One of the most famous approaches for the segmentation of color images is finding clusters in the color space. Shapes of these clusters are often complex and the time complexity of the existing algorithms for finding clusters of different shapes is usually high. In this paper, a novel clustering algorithm is proposed and used for the image segmentation purpose. This algorithm distinguishes clusters...
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