DX

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
Uncategorized

AAAI Classic paper: Artificial Intelligence Technology Review the old and know the new

Previous best papers supervised by AAAI containing various technology ideas (robotics, knowledge data, planning, SAT, etc.) used in Artificial Intelligence and Digital Transformation tasks AAAI Classics
2021.12.31
Uncategorized
微分積分:Calculus

Protected: Topic models – maximum likelihood estimation, variational Bayesian estimation, estimation by Gibbs sampling

Maximum likelihood, variational Bayesian, and Gibbs sampling estimation of topic models for digital transformation , artificial intelligence , and natural language processing tasks.
2021.12.29
微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing
グラフ理論

Protected: Tensor decomposition – CP decomposition and Tucker decomposition

Processing of higher-order relational data and tensors using CP decomposition and Tucker decomposition for digital transformation and artificial intelligence tasks.
2021.12.28
グラフ理論微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
機械学習:Machine Learning

Protected: Higher-order relational data – an overview of tensor data processing

Tensor data processing to analyze relationships between three or more objects for use in digital transformation and artificial intelligence tasks.
2021.12.27
機械学習:Machine Learning自然言語処理:Natural Language Processing関係データ学習
微分積分:Calculus

Protected: Estimating the number of topics in a topic model – Dirichlet process, Chinese restaurant process, stick-folding process

A topic model using Dirichlet process, Chinese restaurant process, and stick-folding process for digital transformation and artificial intelligence tasks.
2021.12.25
微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing
微分積分:Calculus

Protected: Application of Topic Models to Information Other Than Documents – Application to Image Data and Graph Data (Stochastic Block Model, Mixed Member Probabilistic Block Model)

Topic models for image and graph data using stochastic block models for digital transformation and artificial intelligence tasks.
2021.12.24
微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing
推論技術:inference Technology

MCMC and Bayesian estimation

デジタルトランスフォーメーション(DX)、人工知能(AI)タスクに活用される確率関数の積分等に用いられるマルコフ連鎖モンテカルロ
2021.12.23
推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
次のページ
タイトルとURLをコピーしました