2022-09

アルゴリズム:Algorithms

Protected: Overviews of reinforcement learning and implementation of a simple MDP model

Overview of reinforcement learning used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks and implementation of a simple MDP model in python
アルゴリズム:Algorithms

Protected: Application of Variational Bayesian Algorithm to Latent Dirichlet Models

Application of the variational Bayesian algorithm, a computational method for stochastic generative models utilized in digital transformation, artificial intelligence , and machine learning tasks, to latent Dirichlet models
アルゴリズム:Algorithms

Protected: Maximum Propagation Method for Calculating MAP Assignments in Graphical Models

Estimating the maximized state of probability values (MAP assignment) with the maximum propagation method in probabilistic generative models used in digital transformation, artificial intelligence, and machine learningtasks (TRW maximum propagation method, STA condition, maximum propagation method on a factor graph with cycles, maximum propagation on a tree graph, MAP estimation by message propagation)
アルゴリズム:Algorithms

Protected: Foundations of Measure Theory for Nonparametric Bayesian Theory

Foundations of measure theory for nonparametric Bayesian theory (independence of random measures, monotone convergence theorem in Laplace functionals, propositions valid with probability 1, Laplace transform of probability distribution, expectation computation by probability distribution, probability distribution, monotone convergence theorem, approximation theorem by single functions, single functions, measurable functions using Borel set families, Borel sets, σ-finite measures, σ-additive families, Lebesgue measures, Lebesgue integrals)
アルゴリズム:Algorithms

Protected: Calculation of Gaussian processes (1) Calculation by the auxiliary variable method

Approximate computation of Gaussian process models, an application of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks, using the partial data method and the auxiliary variable method

On the Road – Strolling in Yokohama and the History of Kannai and Yokohama Port

Yokohama Stroll and History of Kannai and Yokohama Port from Ryotaro Shiba's Kaido Yuku
仏教:Buddhism

The Internet and Vairocana Buddha – Kegon Sutra and Esoteric Buddhism

The Internet and Vairocana Buddha - Kegon Sutra and Esoteric Buddhism, Doughnutized Buddhist Teachings and Hinduism
Clojure

Cooperation between Clojure and Java

Machine Learning Technology   Artificial Intelligence Technology  Digital Transformation Technology  Java   Clojure C...
Uncategorized

Evaluation of clustering for familiarization with k-means

On the evaluation of clustering around k-means for digital transformation, artificial intelligence, and machine learning tasks curse of dimensionality, Mahalanobis distance, Davies-Bouldin index, Dunn index, squared error, RSME, cluster number estimation, inter-cluster density, intra-cluster density
PHP

Composer and SemanticMediaWiki

PHP framework composer used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks and semantic mediawki using them
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