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search results for Knowledge information processing
210 items matching your search terms
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Tota Suko、Goki Yasuda、Shunsuke Horii、Manabu Kobayashi
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter (2018)
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Kai Asaba、Shota Saito、Shunsuke Horii、Toshiyasu Matsushima
Bayesian Independent Component Analysis under Hierarchical Model on Independent Components (2018)
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Yuji Iikubo、Shunsuke Horii、Toshiyasu Matsushima
Sparse Bayesian Hierarchical Mixture of Experts and Variational Inference (2018)
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Goki Yasuda、Tota Suko、Toshiyasu Matsushima
Asymptotic Analysis of Classification in the Presence of Generalized Label Noise (2018)
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Yasunari Maeda、Masakiyo Suzuki、Toshiyasu Matsushima
A Note on Recommender System with Transitions of User Classes (2017)
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Yasunari Maeda、Masakiyo Suzuki、Toshiyasu Matsushima
A Note on Asset Management with Sensor Network (2017)
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Shunsuke Horii
Sparse Bayesian Logistic Regression with Hierarchical Prior and Variational Inference (2018)
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Manabu Kobayashi、Kenta Mikawa、Masayuki Goto、Toshiyasu Matsushima、Shigeichi Hirasawa
Collaborative Filtering Based on the Latent Class Model for Attributes (2017)
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Yasunari Maeda、Sho Yamauchi、Masakiyo Suzuki、Masahiro Takano、Toshiyasu Matsushima
A Note on Healthcare Support using Markov Decision Processes (2017)
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Yasunari Maeda、Sho Yamauchi、Masakiyo Suzuki、Toshiyasu Matsushima
A Note on a New Customer Problem in Recommender System (2017)
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Shunsuke Horii
Baysian Sparse-Smooth Modeling and Variational Inference (2017)
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Tota Suko、Shunsuke Horii
The Classification Problem in Generalized Label Noise Model (2017)
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Yoshifumi Ukita、Shunsuke Horii、Toshiyasu Matsushima
A Study on Analytical Properties of Bayesian Experimental Design Model based on an Orthonormal System (2017)
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Shunsuke Horii
Bayesian Sparse-Smooth Modeling and Variational Inference (2017)
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Manabu Kobayashi、Masayuki Goto、Toshiyasu Matsushima、Shigeichi Hirasawa
Latent Class Model Analysis Based on the Variational Bayes (2016)
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Tota Suko、Shunsuke Horii
Randomized Response Models on Statistical Decision Theory (2016)
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Mikio Ushioda、Akira Kamatsuka、Toshiyasu Matsushima
Optimal Data Prediction under Bayes Criterion for Nonlinear Regression Models Assuming Latent Variables (2016)
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Goki Yasuda、Toshiyasu Matsushima
Analysis of Performance Gain from Unlabeled Data in Semi-supervised Learning (2016)
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Yasunari Maeda、Toshiyasu Matsushima
Theoretical Limit of Type-I Hybrid Selective-repeat ARQ with Finite Receiver Buffer (2016)
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中野雄斗、齋藤翔太、松嶋敏泰
A Note on the Computational Complexity Reduction Method of the Optimal Prediction under Bayes Criterion in Semi-Supervised Learning (2015)