人工知能:Artificial Intelligence

Protected: Basics of Statistical Causal Effects (1)Definition of Causal Effects Based on the Rubin Effect Model

Definition of causal effects and estimation of statistical causal effects (ATT, ATU, ATE) based on the Rubin effect model used for digital transformation, artificial intelligence and machine learning tasks

Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Machine Learning Professional Series – Gaussian Processes and Machine Learning Reading Notes

Machine Learning Technology Artificial Intelligence Technology Digital Transformation Technology Probabilistic Generativ...

グラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習

From Inductive logic Programming 2012 Proceedings

Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...

Symbolic Logicエキスパートシステム:expertsystemグラフ理論セマンテックウェブ技術:Semantic web Technology情報理論/計算理論推論技術:inference Technology最適化:Optimization検索技術:Search Technology

ISWC2020 papers

Artificial Intelligence Technology Semantic Web Technology Reasoning Technology Collecting AI Conference Papers Ontology...

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyエキスパートシステム:expertsystemセマンテックウェブ技術:Semantic web Technologyユーザーインターフェース/データビジュアライゼーション

Protected: Quasi-experimental design – how to derive causal relationships from observed data

How to verify causality for digital transformation, artificial intelligence , and machine learning tasks by first having the data for causal inference and then verifying causality from there.

Symbolic Logicグラフ理論推論技術:inference Technology数理論理学機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習

Protected: React Practice Starting with Modern Javascript Basics – What is Modern Javascript ?

Modern Javascript fundamentals for React practices used for digital transformation , artificial intelligence and machine learning tasks virtual DOM, package manager, ES2015 and later, modular handlers, transpilers, SPA

javascriptweb技術:web technologyセマンテックウェブ技術:Semantic web Technologyユーザーインターフェース/データビジュアライゼーション非同期/並行処理:Asynchronous/parallel processing

Protected: Correlation, Causation and Relational Structure (2) Backdoor Criteria

Actual backdoor criteria for narrowing down variables to observe intervention effects in causal inference for digital transformation , artificial intelligence, and machine learning tasks

Symbolic Logicグラフ理論ベイズ推定推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Discrepancy between correlation (regression coefficient) and causation (intervention effect)

Differences between regression coefficients and intervention effect values for digital transformation, artificial intelligence , and machine learning tasks.

Symbolic Logicグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習

Submodular Optimization and Machine Learning

Machine Learning Natural Language Processing Artificial Intelligence Digital Transformation Machine Learning in General ...

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning

Machine Learning Professional Series “Submodular Optimization and Machine Learning” reading notes

Machine Learning Natural Language Processing Artificial Intelligence Digital Transformation Machine Learning in General ...

Symbolic Logicアルゴリズム:Algorithmsグラフ理論推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics