Deus Ex Machina

Protected: Applications of State Space Models to Marketing

Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.

2022.06.30

IOT技術:IOT TechnologyRStream Data Processing時系列データ解析機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Graphical model with factor graph representation

An overview of factor graph models, a more generalized version of graphical models used in probabilistic generative models for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.06.29

アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Non-parametric Bayesian and clustering(1)Dirichlet distribution and infinite mixture Gaussian model

Analysis with a mixed Gaussian model that extends the Dirichlet distribution to infinite dimensions as a nonparametric Bayesian approach in stochastic generative models used in digital transformation artificial intelligence, and machine learning

2022.06.28

アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

Protected: Overview of Gaussian Processes (1) Gaussian Processes and Kernel Tricks

Overview of the theory of Gaussian processes (support vector machines, related vector machines, RVMs, RBF kernels, kernel functions), which are dimensionless multivariate Gaussian distribution models with no specified parameters among stochastic generative models used in digital transformation, artificial intelligenceand machine learningtasks.

2022.06.27

アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

On the Road – Minami-Iyo, Nishi-Tosa Road: Clouds over the Hill and the Date Family in Nangoku

From Ryotaro Shiba's Kaido Yuku, from Matsuyama to Tobe, Uchiko, Ozu and Uwajima in Ehime Shigenobu River, Matsuyama Castle, Tobe ware, Uchiko, Japanese candles, Ozu, Elk River, Ozu Castle, Uwajima, Atagoyama, Matsumaru Kaido

2022.06.26

旅歴史紀行読書

Reasoning Web2018 Papers

Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...

2022.06.26

Symbolic Logicweb技術:web technologyアルゴリズム:Algorithmsセマンテックウェブ技術:Semantic web Technologyユーザーインターフェース/データビジュアライゼーション推論技術:inference Technology機械学習:Machine Learning

Introduction to Probability Theory Reading Notes

Introduction to Probability Theory Reading Notes From Introduction to Probability Theory 「It is said that...

2022.06.25

ベイズ推定数理論理学最適化:Optimization確率・統計:Probability and Statistics集合論:Set theory

Reasoning Web2017 Papers

機械学習技術　人工知能技術　自然言語処理技術　セマンティックウェブ技術　オントロジー技術　デジタルトランスフォーメーション技術 AI学会論文知識情報処理技術 AI学会論文を集めて推論技術 In the pre...

2022.06.25

Symbolic Logicweb技術:web technologyアルゴリズム:Algorithmsセマンテックウェブ技術:Semantic web Technologyユーザーインターフェース/データビジュアライゼーション推論技術:inference Technology機械学習:Machine Learning

Protected: Partitioning Method on Support Vector Machines (1) SMO Algorithm

Efficiency using the partitioning method (SMO algorithm) on support vector machines utilized for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.06.24

アルゴリズム:Algorithmsグラフ理論微分積分:Calculus最適化:Optimization機械学習:Machine Learning画像認識技術確率・統計:Probability and Statistics自然言語処理:Natural Language Processing音声信号認識技術

Use of Emulators and Inverse Problems in Molecular Simulation

The use of emulators in the integration of simulation and machine learning technologies applied to digital transformation, artificial intelligence, and machine learning tasks and the inverse problem of molecular simulation

2022.06.23

コンピューターシミュレーションデータベース技術:DataBase Technologyユーザーインターフェース/データビジュアライゼーション地理空間情報処理時系列データ解析機械学習:Machine Learning