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Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning mā 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 mā 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 mā 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 mā 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 mā 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 mā Jean‐Philippe Vert, Jian‐Wen Qiu, William Stafford Noble

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

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Integration of Network Topological and Connectivity Properties for Neuroimaging Classification mā 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 mā Shibin Qiu, Terran Lane

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A statistical framework for genomic data fusion mā 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 mā Chen Zu, Biao Jie, Mingxia Liu, Songcan Chen, Dinggang Shen, Daoqiang Zhang

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Multikernel linear mixed models for complex phenotype prediction mā 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 mā 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 mā 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 mā 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 mā 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... mā 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 mā 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 mā Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen

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

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