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Showing items 86-95 of 124  (13 Page(s) Totally)
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Institution Date Title Author
國立臺灣科技大學 2019 Developing intuitionistic fuzzy seasonality regression with particle swarm optimization for air pollution forecasting Ho, C.-H.;Chang, P.-T.;Hung, K.-C.;Lin, K.-P.
臺大學術典藏 2018-09-10T14:57:16Z Secure support vector machines outsourcing with random linear transformation Lin, K.-P.;Chang, Y.-W.;Chen, M.-S.; Lin, K.-P.; Chang, Y.-W.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T09:47:28Z On generalizable low false-positive learning using asymmetric support vector machines Wu, S.-H.;Lin, K.-P.;Chien, H.-H.;Chen, C.-M.;Chen, M.-S.; Wu, S.-H.; Lin, K.-P.; Chien, H.-H.; Chen, C.-M.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T08:49:10Z Genetic polymorphisms of a novel vascular susceptibility gene, ninjurin2 (NINJ2), are associated with a decreased risk of Alzheimer's disease Lin, K.-P.;Chen, S.-Y.;Lai, L.-C.;Huang, Y.-L.;Chen, J.-H.;Chen, T.-F.;Sun, Y.;Wen, L.-L.;Yip, P.-K.;Chu, Y.-M.;Chen, W.J.;Chen, Y.-C.; YEN-CHING CHEN; LIANG-CHUAN LAI; Ta-Fu Chen; WEI J. CHEN
臺大學術典藏 2018-09-10T08:41:28Z On the design and analysis of the privacy-preserving SVM classifier Lin, K.-P.;Chen, M.-S.; Lin, K.-P.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T08:41:27Z Towards communication-efficient private location dependent queries Lin, K.-P.;Chen, M.-S.; Lin, K.-P.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T08:13:49Z Privacy-preserving outsourcing support vector machines with random transformation Lin, K.-P.;Chen, M.-S.; Lin, K.-P.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T07:45:18Z Risk factors for dementia Chen, J.-H.;Lin, K.-P.;Chen, Y.-C.; YEN-CHING CHEN
臺大學術典藏 2018-09-10T07:02:36Z Releasing the SVM classifier with privacy-preservation Lin, K.-P.; Chen, M.-S.; MING-SYAN CHEN
臺大學術典藏 2018-09-10T06:50:56Z Transthyretin Ala97Ser in Chinese-Taiwanese patients with familial amyloid polyneuropathy: Genetic studies and phenotype expression Liu, Y.-T.;Lee, Y.-C.;Yang, C.-C.;Chen, M.-L.;Lin, K.-P.; Chih-Chao Yang

Showing items 86-95 of 124  (13 Page(s) Totally)
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