推論技術:inference Technology

Protected: Bayesian Super Quick Learning (Basics of Bayesian Estimation and Hierarchical Bayesian Models)

The basics of Bayesian inference and hierarchical Bayesian models that can be used for various tasks, including state space models, hidden Markov models, Markov field models, and CAR models.

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

R language and Machine Learning

Overview of the R language as a general-purpose tool for machine learning

R推論技術:inference Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Strategies in similarity matching methods (7) Improved alignment disambiguation

Alignment disambiguation for optimization of natural language simirality and ontology matching for digital transformation (DX) and artificial intelligence (AI) applications

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

Strategies in similarity matching methods (6) Alignment extraction approach

Optimization and alignment extraction for natural language simirality and ontology matching for digital transformation (DX) and artificial intelligence (AI) applications

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

Strategies in similarity matching methods (5) Tuning approaches

Digital transformation (DX), similarity of natural language for artificial intelligence (AI), tuning by machine learning for ontology matching, stacked generalization, genetic algorithms

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

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

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

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.

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

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.

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

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.

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

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.

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

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