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Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine de réir Xiaoou Li, Xun Chen, Yuning Yan, Wenshi Wei, Z. Wang

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High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions de réir Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina Leslie

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Individual identification based on chaotic electrocardiogram signals during muscular exercise de réir Shyan‐Lung Lin, Ching‐Kun Chen, Chun‐Liang Lin, Wen‐Chan Yang, Cheng‐Tang Chiang

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Tree kernel-based protein–protein interaction extraction from biomedical literature de réir Longhua Qian, Guodong Zhou

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A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction de réir Shibin Qiu, Terran Lane

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Marginalized kernels for biological sequences de réir Koji Tsuda, Taishin Kin, Kiyoshi Asai

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Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction de réir Nathalie Pochet, Frank De Smet, Johan A. K. Suykens, Bart L. R. De Moor

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Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis de réir Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen

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Graph classification based on graph set reconstruction and graph kernel feature reduction de réir Tinghuai Ma, Wenye Shao, Yongsheng Hao, Jie Cao

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Predictive modelling and analytics for diabetes using a machine learning approach de réir Harleen Kaur, Vinita Kumari

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Identification of optimal prediction models using multi-omic data for selecting hybrid rice de réir Shibo Wang, Julong Wei, Ruidong Li, Han Qu, John M. Chater, Renyuan Ma, Yonghao Li, Weibo Xie, Zhenyu Jia

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Convolutional Support Vector Models: Prediction of Coronavirus Disease Using Chest X-rays de réir Mateus Maia, Jonatha Sousa Pimentel, Ivalbert S. Pereira, João A. M. Gondim, Marcos Barreto, Anderson Ara

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