推論技術:inference Technology

Iwanami Data Science Series vol.3 “Causal Theory Reading Causality from Real World Data” Reading Memo

  Summary Techniques to examine "causal relationships" that are not "correlations" are "causal inference" and "cau...
2022.02.27
推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
Symbolic Logic

Inductive logic Programming 2008

Machine Learning Technology  Artificial Intelligence Technology  Natural Language Processing Technology  Semantic Web Te...
2022.02.27
Symbolic Logicエキスパートシステム:expertsystemグラフ理論推論技術:inference Technology
IOT技術:IOT Technology

ISWC2016 papers

ISWC2016 papers From ISWC2016, an international conference on Semantic Web technologies, one of the artificial...
2022.02.26
IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyセマンテックウェブ技術:Semantic web Technologyデータベース技術:DataBase 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
推論技術:inference Technology

Protected: Fundamentals of statistical causal inference (1) – Definition of causality by counterfactual model and structural equation model

Foundations of Statistical Causal Inference for Digital Transformation , Artificial Intelligence and Machine Learning Tasks: Defining Causality in Counterfactual Models and Structural Equation Models
2022.02.25
推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
アルゴリズム:Algorithms

Protected: Algorithms for Network Flow Problems

The solution of the maximum communication volume problem by Ford-Fulkerson's algorithm and its relation to the minimum cut problem, the maximum matching problem for nipartite graphs which is a special case of the maximum flow problem, the general matching problem and the minimum cost flow problem are described.
2022.02.24
アルゴリズム:Algorithmsグラフ理論最適化:Optimization機械学習:Machine Learning
アルゴリズム:Algorithms

Basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum whole tree)

An overview of basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum global tree) and some code in C++.
2022.02.23
アルゴリズム:Algorithmsグラフ理論推論技術:inference Technology最適化:Optimization検索技術:Search Technology
Symbolic Logic

Graph data processing algorithms and their application to Machine Learning and Artificial Intelligence tasks

Theory, implementation, and use of algorithms for analyzing graph data.
2022.02.22
Symbolic Logicアルゴリズム:Algorithmsグラフ理論最適化:Optimization
アルゴリズム:Algorithms

Protected: Advanced graph algorithms (strongly connected component decomposition, DAG, 2-SAT, LCA)

Overview and C++ implementation of advanced graph data algorithms such as strongly connected component decomposition, DAG, 2-SAT, LCA, etc., which can be applied to knowledge graph processing and various problem solving algorithms.
2022.02.21
アルゴリズム:Algorithmsグラフ理論
IOT技術:IOT Technology

ISWC2015 Papers

ISWC2015 Papers From ISWC2015, an international conference on Semantic Web technology, one of the artificial i...
2022.02.20
IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyセマンテックウェブ技術:Semantic web Technologyデータベース技術:DataBase 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
Symbolic Logic

Zen and Buddha Bot as Told by Artificial No-Brains

The early history of the dialogue engine, starting with the importance of dialogue and Eliza to the meaning of words, philosophy by Wittgenstein, meta-literature by James Joyce, Zen thought (the Ten Oxen) for enlightenment, Zen questions and answers and Buddhabot.
2022.02.19
Symbolic Logicweb技術:web technologyセマンテックウェブ技術:Semantic web Technologyチャットボットデータベース技術:DataBase Technology仏教:Buddhism機械学習:Machine Learning禅:Zen自然言語処理:Natural Language Processing
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