2021-12

Uncategorized

AAAI Classic paper: Artificial Intelligence Technology Review the old and know the new

Previous best papers supervised by AAAI containing various technology ideas (robotics, knowledge data, planning, SAT, etc.) used in Artificial Intelligence and Digital Transformation tasks AAAI Classics
アート:Art

Zen and Art

Zen and Art Introduction to Zen as life tips & miscellaneous information. As I mentioned on Rinzai Zen and th...
スポーツ:Sports

Surfboard

The history of surfboards, an important surfing gear (wood boards, fiberglass boards, molded (epoxy) boards, soft boards)
微分積分:Calculus

Protected: Topic models – maximum likelihood estimation, variational Bayesian estimation, estimation by Gibbs sampling

Maximum likelihood, variational Bayesian, and Gibbs sampling estimation of topic models for digital transformation , artificial intelligence , and natural language processing tasks.
グラフ理論

Protected: Tensor decomposition – CP decomposition and Tucker decomposition

Processing of higher-order relational data and tensors using CP decomposition and Tucker decomposition for digital transformation and artificial intelligence tasks.
機械学習:Machine Learning

Protected: Higher-order relational data – an overview of tensor data processing

Tensor data processing to analyze relationships between three or more objects for use in digital transformation and artificial intelligence tasks.

Zen, Temples, and the History of Kamakura (Rinzai Zen and the Five Mountains of Kamakura)

An introduction to Rinzai Zen, one of the roots of Japanese Zen, and the Five Temples of Kamakura (Kenchoji, Engakuji, Fukujuji, Jochiji, and Jomyoji), as well as Eisai, Rankei Doryu, and Mugaku Sougen.
微分積分:Calculus

Protected: Estimating the number of topics in a topic model – Dirichlet process, Chinese restaurant process, stick-folding process

A topic model using Dirichlet process, Chinese restaurant process, and stick-folding process for digital transformation and artificial intelligence tasks.
微分積分:Calculus

Protected: Application of Topic Models to Information Other Than Documents – Application to Image Data and Graph Data (Stochastic Block Model, Mixed Member Probabilistic Block Model)

Topic models for image and graph data using stochastic block models for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

MCMC and Bayesian estimation

デジタルトランスフォーメーション(DX)、人工知能(AI)タスクに活用される確率関数の積分等に用いられるマルコフ連鎖モンテカルロ
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