オントロジー Ontology-based failure diagnosis systems, fleet case reuse and integration with AI technology Fleet case, fault diagnosis system and ontology Fleet Case is a system for companies that own multiple devic... 2022.01.27 オントロジー
強化学習 Protected: Reinforcement Learning with Function Approximation (1) – Function Approximation of Value Functions (Batch Learning Case) Function approximation in the case of batch learning of value functions to deal with a huge number of states in reinforcement learning for digital transformation, artificial intelligence, and machine learning tasks. 2022.01.26 強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
推論技術:inference Technology Protected: Modeling of time series and spatial data (1)(Dynamic linear model) Bayesian modeling of temporal and spatial models with a focus on dynamic linear models and evaluation using MCMC 2022.01.25 推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics
web技術:web technology Workflow & Services Technologies About Workflow & Services Technologies Workflow and service technology play an important role in busin... 2022.01.24 web技術:web technologyセマンテックウェブ技術:Semantic web Technologyビジネス:Business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
IOT技術:IOT Technology Protected: Model-based reinforcement learning(Sparse sampling, UCT, Monte Carlo search tree) Model-based reinforcement learning (sparse sampling, UCT, Monte Carlo search trees) used for digital transformation artificial intelligence , and machine learning tasks. 2022.01.24 IOT技術:IOT TechnologyStream Data Processingオンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
アルゴリズム:Algorithms Machine Learning Professional Series Bayesian Deep Learning Reading Notes Machine Learning Professional Series Bayesian Deep Learning Reading Notes Writing a reading note from "Bayesi... 2022.01.23 アルゴリズム:Algorithms機械学習:Machine Learning深層学習:Deep Learning
セマンテックウェブ技術:Semantic web Technology ISWC2010 Papers ISWC2010 Papers From ISWC2010, an international conference on Semantic Web technology, one of the artificial i... 2022.01.23 セマンテックウェブ技術:Semantic web Technology
グラフ理論 Structural Learning About Structural Learning Learning the structure that data has is important for interpreting what the data is a... 2022.01.22 グラフ理論幾何学:Geometry微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
微分積分:Calculus Machine Learning Professional Series “Continuous Optimization for Machine Learning” Reading Memo Summary Continuous optimization in machine learning is a method for solving optimization problems in which varia... 2022.01.22 微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
Symbolic Logic ISWC2009 Papers ISWC2009 Papers From ISWC2009, an international conference on Semantic Web technology, one of the artificial i... 2022.01.22 Symbolic Logicセマンテックウェブ技術:Semantic web Technology推論技術:inference Technology