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
人工知能:Artificial Intelligence
推論技術:inference Technology 微分積分:Calculus Protected: Extension of topic models (adding structure to topics) Correlation topic model, slingshot distribution model with hierarchical structure, probabilistic latent semantic visualization with low-dimensional spatial structure
Overview of topic models with structure in correlated topics used in digital transformation and artificial intelligence tasks (correlated topic model, slingshot distribution model with hierarchical structure, probabilistic latent meaning visualization with low-dimensional spatial structure)
微分積分:Calculus Protected: Extending topic models (using other information as well) (2) Noisy correspondence topic model, author topic model, topic tracking model
Among topic models that rely on auxiliary information for digital transformation and artificial intelligence tasks, we will discuss noisy topic models, author topic models, and topic tracking models.
推論技術:inference Technology Protected: Extending the topic model (using other information) (1) Combined topic model and corresponding topic model
Create a topic model with auxiliary information to be used for digital transformation and artificial intelligence tasksJoining / Corresponding Topic Model Overview
セマンテックウェブ技術:Semantic web Technology ISWC2003 Papers
Overview of ISWC (International Semantic Web Conference) 2003
セマンテックウェブ技術:Semantic web Technology ISWC2002 Papers
Introduction to the papers of ISWC2002, the international conference on the Semantic Web, many of the papers are about the integration of Web services, which is the flexible processing of data after connecting the data.
LISP Knowledge Information Processing Technologies
Overview of techniques for handling the most important knowledge information in artificial intelligence tasks.
推論技術:inference Technology Answer Set Programming: A Brief History of Logic Programming and ASP
A solution set program as a tool for representing complex knowledge information used in digital transformation and artificial intelligence tasks.
機械学習:Machine Learning Topic Model Theory and Implementation
A topic model is a probability generation model for extracting topics from sentences, which is one of the natural language processing technologies used in digital transformation and artificial intelligence tasks.
微分積分:Calculus Protected: Change detection by density ratio estimation – Detection of structural changes using the Kullback-Leibler density ratio estimation method
Detecting structural changes using the Kullback-Leibler density ratio estimation method for digital transformation and artificial intelligence tasks.