Deus Ex Machina

Protected: Anomaly Detection by Gaussian Process Regression -Output anomaly detection for input, application to design of experiments

Detection of how much the output corresponding to the input is abnormal by Gaussian process regression, one of the most versatile methods of anomaly detection used in digital transformation and artificial intelligence tasks (application to design of experiments).

2021.12.13

微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

Overview of Shannon’s Information Theory and Reference Books

An Introduction to Shannon's Information Theory as a Basis for Artificial Intelligence Technology

2021.12.12

情報理論/計算理論

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.

2021.12.12

アルゴリズム:Algorithms情報理論/計算理論数理論理学:Mathematical logic

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.

2021.12.12

機械学習:Machine Learning

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.

2021.12.11

微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

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

2021.12.10

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

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

2021.12.09

微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

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.

2021.12.09

微分積分:Calculus推論技術:inference Technology機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

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.

2021.12.08

推論技術:inference Technology機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

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

2021.12.07

異常検知・変化検知確率・統計:Probability and Statistics