Overview of Bayesian Structural Time Series Models and Examples of Application and Implementation
Bayesian Structural Time Series Models
Bayesian Structural Time Series Model (BSTS) is a type of statisti...
Meiji Art: Fenollosa, Okakura Tenshin and Tea Books
Japanese Art of the Meiji Era and Okakura Tenshin and Fenollosa
In this article, I will discuss the flow of art ...
Overview of structural learning and various applications and implementations
Structural Learning
Structural Learning (Structural Learning) is a branch of machine learning that refers ...
Overview and implementation of stochastic optimization in machine learning
Overview of Stochastic Optimization in Machine Learning
Stochastic optimization represents a method of solvin...
Overview of statistical learning theory (explanation without mathematical formulas)
On the theory of statistical properties of machine learning algorithms
The theory of the statistical properties...
Overview of game theory and examples of integration and implementation with AI technology
Overview of Game Theory
Game theory is a theory for determining optimal strategies when there are multip...
Overview and Implementation of Particle Swarm Optimization
Overview and implementation of particle swarm optimization used for digital transformation, artificial intelligence, and machine learning tasks Clojure, CAPSOS, R language, pso, pyhton, pyswarm, neural network training, parameter optimization, combinatorial optimization, robot control, pattern recognition
Overview of generalized linear models and their implementation in various languages
Generalized Linear Model Overview
The Generalized Linear Model (GLM) is a statistical modeling and machin...
What is a function – its history, programming and machine learning
About Functions
A function will generally be mathematically defined as a rule that assigns to each element in ...
Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations
Petri Net Overview
Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...