情報理論/計算理論 Overview of Shannon’s Information Theory and Reference Books
An Introduction to Shannon's Information Theory as a Basis for Artificial Intelligence Technology
情報理論/計算理論 アルゴリズム:Algorithms Turing’s Theory of Computation Overview and Reference Books and Neural Turing Machines
An introduction to Turing's theory of computation, the basic computer theory on which artificial intelligence technology is based.
機械学習:Machine Learning Machine Learning Prootional Series – Support Vector Machines Reading Notes
Reading notes for a reference book on support vector machines (SVMs), a supervised learning pattern recognition model used for classification and regression in digital transformation, artificial intelligence, and machine learning tasks.
微分積分:Calculus Protected: Anomaly Detection in Directional Data – Analysis Using Von Mises Fisher Distribution and Chi-Square
Explanation of a method that uses the von Mises Fisher distribution from directional data in anomaly detection technology used in digital transformation and artificial intelligence tasks.
推論技術:inference Technology Protected: Anomaly detection using support vector data description method-Biangulation problems and Lagrangian functions and data cleansing
Anomaly Detection and Data Cleansing Using Support Vector Description Method with Kernel Tricks for Digital Transformation and Artificial Intelligence Tasks
微分積分:Calculus Anomaly and Change Detection Technologies
An overview of various machine learning techniques for anomaly and change detection used in digital transformation and artificial intelligence tasks
微分積分:Calculus Protected: Sequential Update Type Anomaly Detection by Mixture Distribution Model – Jensen’s Inequality and EM Method
Overview of sequential update anomaly detection using mixture distribution models (Jensen's inequality, EM method), which is the most popular method used for digital transformation and artificial intelligence tasks.
推論技術:inference Technology Protected: Anomaly detection using the nearest neighbor method-Dealing with multimodal distributions and the Riemannian metric
Anomaly and change detection by the nearest neighbor method using Riemannian measurement to deal with multimodal data for digital transformation and artificial intelligence tasks.
異常検知・変化検知 Protected: Anomaly detection using simple Bayesian method -Differences from binary classification
Overview of Simple Bayesian Methods for Multivariate Anomaly/Change Detection for Digital Transformation and Artificial Intelligence Tasks
最適化:Optimization Protected: Anomaly detection by T2 method for hoteling-Mahalanobis distance and chi-square distribution
Anomaly and change detection using the T2 method (Mahalanobis distance) of hoteling used in digital transformation and artificial intelligence tasks.