2021-08

セマンテックウェブ技術:Semantic web Technology

Strategies in similarity matching methods (4) Learning to sort alignments

Digital transformation (DX), simirality of natural language for artificial intelligence (AI) applications, sorting alignment by machine learning for ontology matching, SVM, decision trees, WHIRL, neural nets, naive Bayes
2021.08.21
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Strategies in similarity matching methods (3) Weighted selection approach

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation, matching strategies, and weighting strategies for ontologies using relational pattern matching.
2021.08.20
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Strategies in similarity matching methods (2) Context-based approach

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, matching strategies, context-based matching.
2021.08.19
セマンテックウェブ技術:Semantic web Technology自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Strategies in similarity matching methods (1) Overview

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, matching strategies.
2021.08.18
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Similarity in global matching(6) Semantic approach

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, semantic approach, SAT solver, description logic.
2021.08.17
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Similarity in global matching (5) Probabilistic approach

Natural Language Similarity for Digital Transformation (DX), Artificial Intelligence (AI) and Machine Learning (ML) Applications. Evaluating ontology similarity by relational pattern matching, a probabilistic approach.
2021.08.16
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Similarity in global matching (4) Optimized matching method、EM and PSO

Natural language similarity for Digital Transformation (DX), Artificial Intelligence (AI) and Machine Learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, Expectation Maximization (EM) and Particle Swarm Optimisation (PSO).
2021.08.15
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深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology

Similarity in global matching (3) Matching graph patterns by iterative computation

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Graph data matching calculations for ontology similarity extraction.
2021.08.14
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深層学習:Deep Learning自然言語処理:Natural Language Processing
スパースモデリング

Protected: Sparse Modeling and Multivariate Analysis (3) Practical use of lasso with glmnet and genlasso

About sparse models used for data dimensionality reduction and explanation of machine learning models, implementation of Lasso using R, genlasso and glmnet.
2021.08.13
スパースモデリング機械学習:Machine Learning
スパースモデリング

Protected: Sparse modeling and multivariate analysis (2) Sparse estimation using lasso and computational methods

An overview of Lasso and its estimation and computational methods for sparse models, which are used to reduce the dimensionality of data and to explain machine learning models.
2021.08.12
スパースモデリング機械学習:Machine Learning
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