2022-08

Clojure

Setting up a Clojure development environment with SublimeText4 and VS code and LightTable

Launch of development environment in Sublimetext and VS code for Clojure language used for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks

On the Road – Miura Peninsula Chronicles

Miura Peninsula and Kamakura Shogunate from Ryotaro Shiba's Kaido Yuku Minamoto no Yoritomo, Yokohama Prince Hotel, Atami, Kamakura, Mikasa Park, Asahina Cut-through, Miura Daikon, Enoshima, Tsurugaoka Hachimangu, Wakamiya-oji, Kanazawa Hakkei, Hiroshige Utagawa, Mt.
アート:Art

Reading Haiku from a Haiku History and Communication Perspective

History of haiku (renga, Matsuo Basho, Yosa Buson, Kobayashi Issa, Masaoka Shiki, Takahama Kyoshi, Kawahigashi Hekigoto, Taneda Yamatoka, Ozaki Hoya) and reading haiku from a communication perspective (breaks, broken letters, seasonal words)
アルゴリズム:Algorithms

Protected: Support Vector Machines for Weak Label Learning (1) Semi-supervised Learning

Weak label learning (semi-supervised learning where label information is given only for a subset of training cases) as an application of support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms

Protected: Application of Variational Bayesian Algorithm to Matrix Decomposition Models

Variational Bayesian learning and empirical variational Bayesian learning algorithms for matrix factorization models as computational methods for stochastic generative models utilized in digital transformation , artificial intelligence , and machine learning tasks
アルゴリズム:Algorithms

Protected: Computation of graphical models without hidden variables

Maximum likelihood, Bayesian, and variational computations of graphical models without hidden variables in probabilistic generative models utilized in digital truss formation, artificial intelligence, and machine learning tasks, learning by the pseudolikelihood function, Bethe approximation, parameter estimation by TRW upper bound, variational methods, entropy functions, IPF algorithm, MAP estimators
アルゴリズム:Algorithms

Protected: Non-patometric Bayes and clustering (2) Stochastic model of partitioning and Dirichlet processes

Clustering using nonparametric Bayes, one of the applications of probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learningtasks (Chinese restaurant process and Dirichlet process and concentration parameter estimation, bar-folding process)
アルゴリズム:Algorithms

Stochastic Generative Models and Gaussian Processes(1) Basis of Stochastic Models

Stochastic generative models for digital transformation, artificial intelligence, and machine learning tasks and fundamentals of stochastic models to understand Gaussian processes (independence, conditional independence, simultaneous probability, peripheralization and graphical models)
仏教:Buddhism

Mahayana Buddhism and the Prajnaparamita Sutra

Transformation of the concept of the sky from Theravada Buddhism, Theravada Buddhism, and Sakyamuni Buddhism (Agon Sutra) to Mahayana Buddhism (Prajnaparamita Sutra), Zen Buddhism (Soto, Rinzai, Obaku) and Esoteric Buddhism (Tendai, Shingon)
アルゴリズム:Algorithms

stochastic optimization

Stochastic optimization methods for solving large-scale learning problems on large amounts of data used in digital transformation, artificial intelligence, and machine learning tasks supervised learning and regularization, basics of convex analysis, what is stochastic optimization, online stochastic optimization, batch stochastic optimization, stochastic optimization in distributed environments
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