推論技術:inference Technology

Overview and Implementation of the Satisfiability Determination Problem (SAT: Boolean SAtisfiability) of Propositional Logic

Overview and implementation of the satisfiability decision problem (SAT: Boolean SAtisfiability) for propositional logic, which is used in digital transformation, artificial intelligence, and machine learning tasks Clojure Rollingstones, Pyhton, PySAT, z3-solver, C++, 2-SAT, game AI, natural language processing acceleration, combinatorial optimization problem efficiency, hyperparameter optimization, computer security, automatic software specification verification, automatic chip design verification, zChaff, WalkSAT, GRASP, CryptoMiniSat, MapleSAT, Scavel, PicoSAT, MiniSAT, CaDiCaL, Lingeling, Glucose, P≠NP prediction, logic problems

2023.03.27

推論技術:inference Technology数理論理学:Mathematical logic

Protected: A recommendation system using a measure of similarity between text documents using k-means in Clojure.

Recommendation systems using measures of similarity between text documents using k-means in Clojure leveraged for digital transformation , artificial intelligence , and machine learning tasks Slope One recommendations, top rating calculations, weighted ratings, average difference between paired items, Weighted Slope One, user-based recommendations, collaborative filtering, item-based recommendations, movie recommendation data

2023.03.15

Clojureアルゴリズム:Algorithmsグラフ理論幾何学:Geometry微分積分:Calculus推論技術:inference Technology最適化:Optimization検索技術:Search Technology機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Overview of the Knowledge Graph and summary of related presentations at the International Society for the Study of Knowledge Graphs (ISWC)

Overview of knowledge graphs used for digital transformation, artificial intelligence, and machine learning tasks and summary of related presentations at the International Society for the World Wide Web Conference ISWC (ISWC, natural language processing, reasoning techniques, data analytics, robotics, IOT, search engine, inference engine Entity Extraction, Picture Entity Linking, Relational Learning, Deep Learning, Fusion of Logic and Probability, Relationship Extraction, Topic Models, Chatbots, Question Answering, Semantic Web Technologies, Knowledge Information Processing, RDF Store, SPARQL, Ontology Matching, Database Technologies)

2023.03.05

Symbolic Logicweb技術:web technology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機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (13)Model Independent Interpretation (Local Surrogate :LIME)

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2023.02.17

推論技術:inference Technology機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (11) Model-Independent Interpretation (Permutation Feature Importance)

Permutation Feature Importance is one of the posterior interpretation models that can be used to explain digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2023.02.03

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (12) Model-Independent Interpretation (Global Surrogate)

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2023.01.20

推論技術:inference Technology機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (10) Model-independent Interpretation (Feature Interaction)

Interaction of features, one of the posterior interpretive models that can be explained and used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2023.01.05

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (9) Model-independent interpretation (ALE plot)

ALE plot is one of the posterior interpretation models that can be explained and used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2022.12.16

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Unsupervised Learning with Gaussian Processes (2) Extension of Gaussian Process Latent Variable Model

Extension of Gaussian process latent variable models as unsupervised learning by Gaussian processes, an application of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learningtasks ,infinite warp mixture models, Gaussian process dynamics models, Poisson point processes, log Gaussian Cox processes, latent Gaussian processes, elliptic slice sampling

2022.12.05

アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus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線形代数:Linear Algebra

Protected: Unsupervised Learning with Gaussian Processes (1)Overview and Algorithm of Gaussian Process Latent Variable Models

Overview and algorithms of unsupervised learning using Gaussian Process Latent Variable Models GPLVM, an application of probabilistic generative models used in digital transformation, artificial intelligence, and machine learning, Bayesian Gaussian Process Latent Variable Models ,Bayesian GPLVM

2022.11.21

アルゴリズム:Algorithmsベイズ推定微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra