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settings (non iid); - information-theoretic bounds on the generalisation error of learning algorithms; - estimation theory; - hypothesis testing in non-classical settings; - estimation and prediction in
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development (dyn.web.nitech.ac.jp/en/) The researcher in this recruitment will be engaged in the research subject "Mathematical models and algorithms for brain-morphic computing" in JST CREST Project
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development (dyn.web.nitech.ac.jp/en/) The researcher in this recruitment will be engaged in the research subject "Mathematical models and algorithms for brain-morphic computing" in JST CREST Project
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://www.kikn.fms.meiji.ac.jp/Crest-AHC2022/index_e.html [Work content and job description] (1)Study on a new algorithm for differentially private anonymization (2)Development of proof-of-concept using smartphone apps or python
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of the recruitment and description of the project Professor of Department of Mathematical and Computing Science (Research Fields: Theoretical Computer Science, Theory of Computational Complexity, Theory of Algorithms
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the following 1) Construction and improvement of a data assimilation system using a coupled atmosphere-ocean model. 2) Development and improvement of algorithms and calculation methods for efficient computation
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of AI technology and develop human resources. The Robot Learning Team works on algorithms and methodologies for robotic agents to learn skills for performing tasks in physical environments. Keywords
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the perspective of neurodevelopment and its disorders. Great technical strides are prying open the black box of the brain, while artificial deep-learning algorithms can now defeat Go masters. Yet, we are still far