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A Review of Nonconformity Measures for Conformal Prediction in Regression.

Y. Kato, D. Tax, и M. Loog. COPA, том 204 из Proceedings of Machine Learning Research, стр. 369-383. PMLR, (2023)

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Ferenc Kató

Yuko Ito

Yumiko Kato

Keiichi Kato

Yuko Mitsui

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Scheduling System for Multi-party Arrangement Work by Utiling Mathematical Optimization and Machine Learning Techniques.Y. Takahashi, Y. Ishido, Y. Kato, и Y. Kobayashi. SoSE, стр. 321-324. IEEE, (2020)Interactive System Using LDA for Exploratory Visualization to Extract Data Association in a Data Lake.T. Yamada, Y. Maekawa, Y. Kato, и T. Tomiyama. SMC, стр. 172-177. IEEE, (2018)Proposal to Enhance University Students' Motivation to Switch to a Morning-Oriented Lifestyle with a Community Approach.H. Fujino, T. Okunari, Y. Kato, H. Kobashi, T. Tarutani, N. Miyano, и S. Yagi. HCI (15), том 12195 из Lecture Notes in Computer Science, стр. 511-525. Springer, (2020)Development of Data Utilization Platform for Utilizing a Large Amount of Various Data of Business Systems in the Railway Field.H. Yamamoto, T. Honda, Y. Kato, K. Kawasaki, и T. Tsuno. SICE, стр. 607-612. IEEE, (2019)Interactive Service for Visualizing Data Association Using a Self-Organizing Structure of Schemas.T. Yamada, Y. Kato, Y. Maekawa, и T. Tomiyama. SOCA, стр. 230-233. IEEE Computer Society, (2017)Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models.T. Hamada, J. Kuroiwa, H. Ogura, T. Odaka, H. Shirai, и Y. Kato. ICANN (2), том 5769 из Lecture Notes in Computer Science, стр. 544-551. Springer, (2009)A 90nm 12ns 32Mb 2T1MTJ MRAM.R. Nebashi, N. Sakimura, H. Honjo, S. Saito, Y. Ito, S. Miura, Y. Kato, K. Mori, Y. Ozaki, Y. Kobayashi и 10 other автор(ы). ISSCC, стр. 462-463. IEEE, (2009)A Review of Nonconformity Measures for Conformal Prediction in Regression.Y. Kato, D. Tax, и M. Loog. COPA, том 204 из Proceedings of Machine Learning Research, стр. 369-383. PMLR, (2023)A View on Model Misspecification in Uncertainty Quantification.Y. Kato, D. Tax, и M. Loog. BNAIC/BENELEARN, том 1805 из Communications in Computer and Information Science, стр. 65-77. Springer, (2022)

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