推論技術:inference Technology Protected: What is MCMC (Overview)
Markov Chain Monte Carlo (MCMC), a key tool in Bayesian inference for artificial intelligence (AI) tasks, digital transformation (DX), natural language processing, etc.
推論技術:inference Technology
推論技術:inference Technology 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.
R R language and Machine Learning
Overview of the R language as a general-purpose tool for machine learning
セマンテックウェブ技術:Semantic web Technology 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 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 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 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 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 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 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.