artificial intelligence

Online learning and online prediction

Online learning is a sequential machine learning technique used in digital transformation , artificial intelligence , and machine learning tasks, and online prediction combines these techniques with decision-making problems.

2022.01.05

オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Implementation in online learning – sparse vector computation and averaging perceptron, averaged stochastic gradient descent, lazy update

Various implementation techniques for online learning for digital transformation , artificial intelligence and machine learning tasks (sparse vector computation and averaging perceptrons, averaged stochastic gradient descent, lazy update).

2022.01.05

オンライン学習最適化:Optimization

Computerized processing of law-related tasks

Computational processing of legal information as an application of knowledge information processing used as a digital transformation and artificial intelligence task (a European case study).

2022.01.04

Symbolic Logicセマンテックウェブ技術:Semantic web Technology

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

2022.01.03

LISPprologSymbolic Logicエキスパートシステム:expertsystem検索技術:Search Technology

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

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

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

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

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

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