ICT技術:ICT 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)
2022.01.02
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.
2022.01.02
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.
2022.01.01
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.
2021.12.19
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.
2021.12.03
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
2021.12.02
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.
2021.11.29
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
2021.11.28
LISP推論技術:inference Technology
C言語

Protected: MCMC Method for Stochastic Integral Calculations: Multivariate Metropolis Algorithm

MCMC Method for Stochastic Integral Computation for Digital Transformation and Artificial Intelligence Tasks: The Multivariate Metropolis Algorithm
2021.11.27
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: A concrete algorithm for Markov chain Monte Carlo: Metropolis method (2) application and efficiency

An Overview of MCMC Efficiency Using Metropolis Method for Stochastic Integral Computation for Digital Trasformation and Artificial Intelligence Tasks
2021.11.26
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
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