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The classification of cancer subtypes is of great importance in cancer disease diagnosis and therapy. Many supervised learning methods have been applied to classification of cancer subtypes in the past few years, especially of deep learning based methods. Recently, a deep forest model has been proposed as an alternative of deep neural networks to learn hyper-representations by using cascade ensemble...
In this paper, we propose a method for classifying textual entities of bilingual documents written in Chinese and English. In contrast to earlier works that performed classification on the level of text lines or documents, we apply our method to the level of textual components, as we must first identify Chinese components before merging them into intact characters and sending the latter characters...
The study concerns with classification of acoustic emission signals in composite laminates using support vector machine (SVM). Wavelet packet analysis is performed initially to extract the features and to reduce the dimensionality of original data features. The SVM classifiers are trained with a subset of the experimental data for known fault conditions and are tested using the remaining set of data...
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