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Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT.

, , и . CANDAR Workshops, стр. 450-454. IEEE, (2019)

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Hiroko Miyajima

Hirofumi Ishihara

Hirofumi Hosokawa

Hirofumi Ueda

Hirofumi Kumazawa

 

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SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation., , и . IWANN (1), том 9094 из Lecture Notes in Computer Science, стр. 561-575. Springer, (2015)A proposal of SIRMs model with linear transformation of input variables., , и . SCIS&ISIS, стр. 311-316. IEEE, (2014)Personal Identification by Learning-Based Integration of Facial and Clothes Similarities., , , и . GCCE, стр. 307-308. IEEE, (2020)Bio-information inference platform using underwear-type wearable device., , , , , и . ICCE-Berlin, стр. 3-4. IEEE, (2017)Fast and Secure Back-Propagation Learning Using Vertically Partitioned Data with IoT., , и . CANDAR Workshops, стр. 450-454. IEEE, (2019)New privacy preserving clustering methods for secure multiparty computation., , , , , и . Artif. Intell. Res., 6 (1): 27-36 (2017)A proposal of privacy preserving reinforcement learning for secure multiparty computation., , , , , , и . Artif. Intell. Res., 6 (2): 57-68 (2017)Performance Comparison of Hybrid Electromagnetism-Like Mechanism Algorithms with Descent Method., , и . J. Artif. Intell. Soft Comput. Res., 5 (4): 271 (2015)Proposal of security preserving machine learning of IoT., , и . Artif. Intell. Res., 7 (2): 26- (2018)System identifications by SIRMs models with linear transformation of input variables., , и . Artif. Intell. Res., 5 (2): 55-63 (2016)