digital transformation

オンライン学習

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).
Symbolic Logic

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).
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
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)
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.
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.
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
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.
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.
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.
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