推論技術:inference Technology

Basic Similarity(5) Data Expansion Techniques

Natural Language Similarity for Digital Transformation (DX), Artificial Intelligence (ML), Machine Learning (ML). Similarity for ontology matching using an extended data approach.

2021.07.13

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity (4) Internal structure-based approach

Similarity estimation of natural language for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications based on data types and domain elements.

2021.07.12

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity(3) A language-based approach

Linguistic approaches to natural language similarity assessment that can be used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML), including multilingual support.

2021.07.09

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Basic Similarity (2) String-based approach

Summary of various methods for structuring raw text as a basis for natural language processing for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications, normalization techniques, substring handling, edit distance, token-based Distance and path comparison

2021.07.08

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Basic Similarity (1) Overview

Definition and overview of natural language similarity, which is important when applying digital transformation (DX), artificial intelligence (AI), and machine learning (ML), based on ontology matching

2021.07.07

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

Behavior Trees and their implementation in Unity

Overview of artificial intelligence technology used in game AI, etc., state management using behavior trees, difference from FSM

2021.05.31

Symbolic Logicアルゴリズム:Algorithmsゲーム推論技術:inference Technology

Protected: Graphical Model Overview and Bayesian Network

Graphical model overview for efficient approach to stochastic generative models, Bayesian networks

2021.05.24

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: Graphical Models Overview and Markov Probability Fields

Graphical model overview for efficient approach to stochastic generative models, Markov stochastic processes

2021.05.23

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: An overview of the expert integration problem in online forecasting and its implementation in Regret

Overview of online predictive learning for solving sequential prediction problems, introduction to Regret

2021.05.22

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

Sequential Pattern Mining

Overview of data mining to find patterns in data delivered in sequence and introduction to the actual use of SPMF, an oven source

2021.05.11

アルゴリズム:Algorithms推論技術:inference Technology最適化:Optimization機械学習:Machine Learning