Uncategorized User interface and data visualization Technologies User interfaces and data visualization to increase the value of information in data for digital transformation , artificial intelligence , and machine learning tasks. Uncategorized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機械学習:Machine Learning
LISP Knowledge Representation and Reasoning (1) – History of Knowledge Information Processing, Languages for Representing Knowledge and Prolog History of knowledge information processing used in digital transformation and artificial intelligence tasks, and languages for representing knowledge, Prolog and predicate logic LISPprologSymbolic Logicエキスパートシステム:expertsystem検索技術:Search Technology
エキスパートシステム:expertsystem Artificial Life and Agent Technologies Artificial life technology, an indispensable technology for digital transformation and artificial intelligence tasks (reproducing the behavior of life on a computer and expressing intelligence) エキスパートシステム:expertsystem人工知能:Artificial Intelligence
データベース技術:DataBase Technology Protected: Instance recognition and retrieval (2) General image retrieval Search optimization using tree structure, hashing, sequential quantization, spectral hashing, k-means hashing, etc. for digital transformation and artificial intelligence tasks, and evaluation using mAP and recall@R. データベース技術:DataBase Technology幾何学:Geometry微分積分:Calculus検索技術:Search Technology機械学習:Machine Learning
Symbolic Logic Rule base, knowledge base, expert system and relational data Rule-based and knowledge-based and expert systems and relational data as knowledge information processing handling for use in digital transformation and artificial intelligence tasks. Symbolic Logicデータベース技術:DataBase Technology数理論理学:Mathematical logic検索技術:Search Technology
LISP Knowledge Information Processing Technologies Overview of techniques for handling the most important knowledge information in artificial intelligence tasks. LISPprologSymbolic Logicエキスパートシステム:expertsystemセマンテックウェブ技術:Semantic web Technologyデータベース技術:DataBase Technology推論技術:inference Technology数理論理学検索技術:Search Technology
地理空間情報処理 Machine Learning Professional Series – Relational Data Learning Post-Reading Notes Overview of relational data learning to extract the meaning and knowledge behind information used in digital transformation , artificial intelligence , and machine learning tasks. 地理空間情報処理推論技術:inference Technology機械学習:Machine Learning画像認識技術自然言語処理:Natural Language Processing音声信号認識技術
C言語 Protected: Applications of Markov chain Monte Carlo methods (Bayesian inference) Overview of the application of MCMC methods to Bayesian inference for digital transformation , artificial intelligence , and machine learning tasks, and description of various algorithms C言語機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing
C言語 Protected: MCMC method for calculating stochastic integrals: Algorithms other than Metropolis method (HMC method) Algorithm and C implementation of the Hybrid Monte Calro method applied to complex stochastic integral calculations for digital transformation and artificial intelligence tasks. C言語深層学習:Deep Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing
LISP Lisp Function Programming for the First Time reading notes A Textbook of the LISP Language as an Explanation of Functional Programming LISP推論技術:inference Technology