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Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning 著者: Thibaud Sénéchal, Valerie. Rapp, Hanan Salam, Renaud Séguier, Kévin Bailly, Lionel Prévost

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A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia 著者: Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez‐Ramón, Kent A. Kiehl, Vince D. Calhoun

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Calpain Cleavage Prediction Using Multiple Kernel Learning 著者: David A. duVerle, Yasuko Ono, Hiroyuki Sorimachi, Hiroshi Mamitsuka

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Random forest-based similarity measures for multi-modal classification of Alzheimer's disease 著者: Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert

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

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A new pairwise kernel for biological network inference with support vector machines 著者: Jean‐Philippe Vert, Jian‐Wen Qiu, William Stafford Noble

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Metabolite identification through multiple kernel learning on fragmentation trees 著者: Huibin Shen, Kai Dührkop, Sebastian Böcker, Juho Rousu

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Integration of Network Topological and Connectivity Properties for Neuroimaging Classification 著者: Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong‐Yaw Wee, Dinggang Shen

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

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A statistical framework for genomic data fusion 著者: Gert Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble

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Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment 著者: Chen Zu, Biao Jie, Mingxia Liu, Songcan Chen, Dinggang Shen, Daoqiang Zhang

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Multikernel linear mixed models for complex phenotype prediction 著者: Omer Weissbrod, Dan Geiger, Saharon Rosset

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Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning 著者: Olfa Ben Ahmed, Jenny Benois‐Pineau, Michelle Allard, Gwénaëlle Catheline, Chokri Ben Amar

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Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer’s Disease Diagnosis 著者: Jailin Peng, Le An, Xiaofeng Zhu, Yan Jin, Dinggang Shen

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Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures 著者: Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zai͏̈ane

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Unsupervised multiple kernel learning for heterogeneous data integration 著者: Jérôme Mariette, Nathalie Villa‐Vialaneix

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Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and stru... 著者: Jane Maryam Rondina, Luiz Kobuti Ferreira, Fábio Duran, Rodrigo Kubo, Carla Rachel Ono, Cláudia C. Leite, Jerusa Smid, Ricardo Nitríni, Carlos Alberto Buchpiguel, Geraldo F. Busatto

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Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models 著者: Jessica Schrouff, João Manuel Milheiro Caldas Paiva Monteiro, Liana Catarina Lima Portugal, Maria João Rosa, Christophe Phillips, Janaı́na Mourão-Miranda

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Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis 著者: Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen

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Multiple-kernel learning for genomic data mining and prediction 著者: Christopher M. Wilson, Kaiqiao Li, Xiaoqing Yu, Pei Fen Kuan, Xuefeng Wang

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