DX

Symbolic Logic

Protected: Maximum Flow and Graph Cut (3) Inference and Graph Cut in Markov Stochastic Fields

Inference and graph cuts in Markov stochastic fields for graph maximal flow extraction by undermodular optimization, a discrete information optimization method for digital transformation, artificial intelligence, and machine learning tasks
2022.05.04
Symbolic Logicアルゴリズム:Algorithmsグラフ理論幾何学:Geometry微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
web技術:web technology

Protected: Introduction to Amazon Web Services networking (2) Creating VPC regions and subnets

Overview and introduction of procedures for creating VPC regions and subnets for building AWS cloud services used in digital transformation, artificial intelligence, and machine learning tasks.
2022.05.03
web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
PHP

Protected: Web page development using Laravel (4) Service container

About service containers and binding for application development using Laravel, a PHP framework for building web applications used for digital transformation (DX), artificial intelligence (AI) and machine learning tasks.
2022.05.02
PHPweb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非同期/並行処理:Asynchronous/parallel processing
アルゴリズム:Algorithms

Protected: Maximum Flow and Graph Cutting (2)Maximum Flow Algorithm

Ford-Fulkerson's algorithm and Goldberg-Tarjan's algorithm for the maximum flow problem for directed graphs used in digital transformation, artificial intelligence, and machine learning tasks, pre-flow and push methods, increasing path algorithms, and residual networks
2022.04.29
アルゴリズム:Algorithmsグラフ理論スパースモデリング微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning関係データ学習
Symbolic Logic

Protected: Maximum flow and graph cut (1) Maximum volume and minimum s-t cut

Application of undermodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks, to minimum cut and maximum flow problems for directed graphs
2022.04.28
Symbolic Logicグラフ理論スパースモデリング幾何学:Geometry推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
CSS

Protected: Textbook of Bootstrap5 Frontend Development – (2) Layout Manipulation in Bootstrap (1)

Layout configuration in Bootstrap using a grid system for building user interfaces in web systems used for digital transformation and artificial intelligence tasks.
2022.04.26
CSSjavascriptweb技術: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
PHP

Protected: Web page development using Laravel (3) Flow of Laravel application execution

Explain the flow of application execution in Laravel, a PHP framework for building web applications used for digital transformation, artificial intelligence, and machine learning tasks, based on sample code
2022.04.25
PHPweb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
IOT技術:IOT Technology

Protected: Maximization of submodular functions and application of the greedy method (1) Overview of the greedy method and its application to document summarization

Optimization methods for discrete information used in digital transformation, artificial intelligence, and machine learning tasks: application of greedy methods to undermodular function maximization and its use in document summarization tasks
2022.04.22
IOT技術:IOT Technologyアルゴリズム:Algorithms幾何学:Geometry推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
IOT技術:IOT Technology

Data Stream Processing Architecture (DSMS)

Machine learning and system architecture of data streams (time series data) used for cross-fusion IOT utilization, and data stream management system: DSMS (Data Stream Management System)
2022.04.21
IOT技術:IOT TechnologyStream Data Processingセマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning
アルゴリズム:Algorithms

Protected: Fundamentals of Submodular Optimization (5) Lovász Extension and Multiple Linear Extension

Interpretation of submodularity using Lovász extensions and multiple linear extensions as a basis for submodular optimization, an approach to discrete information used in digital transformation, artificial intelligence, and machine learning tasks
2022.04.21
アルゴリズム:Algorithmsグラフ理論スパースモデリング微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning
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