ICT技術:ICT Technology

Protected: Partitioning Methods in Support Vector Machines (2) DCDM Algorithm for Linear SVM

DCDM algorithm (dual coordinate descent method algorithm), an efficient algorithm for processing large amounts of (sparse) data on support vector machines (algorithm for linear SVM used in LIBLINEAR) used in digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks.

2022.07.01

アルゴリズム:Algorithmsグラフ理論微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning画像認識技術異常検知・変化検知確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

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

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

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

Protected: Implementation of particle filter on time series data

Data assimilation using particle filters for time series data analysis utilized in digital transformation, artificial intelligence, and machine learning tasks and comparison of Kalman filter, particle filter (sequential Monte Carlo), and Markov chain Monte Carlo (MCMC) methods

2022.06.22

IOT技術:IOT TechnologyRStream Data Processingアルゴリズム:Algorithms微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: How re-rendering works in React and optimization

Optimization of the behavior of React, a web front-end technology used for digital transformation , artificial intelligence , and machine learning tasks, by memorizing re-rendering controls.

2022.06.21

CSSjavascriptweb技術:web technology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

Protected: Overview and Installation of Vim

Features and installation of text editors Vi and Vim for building infrastructure for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks

2022.06.20

コンピューターテキストウディタプログラミング言語:Programming Language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

Overview and installation of Sublimetext

Overview and installation of Sublimetext, a text editor used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.06.20

コンピューターテキストウディタプログラミング言語:Programming Language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人工知能:Artificial Intelligence