Applications

ICT技術:ICT Technology

Overview of RFID and its applications and integration with AI technology

Overview of RFID and its applications in digital transformation, artificial intelligence and machine learning tasks and its integration with AI technologies cost reduction, IMPINJ Inc, M700, privacy, radio interference, distance limitation, standardization, smart cities, logistics, Supply chain management, asset management, Web 3.0, WoT, IoT, manufacturing, healthcare, agriculture, logistics, RFID tags, RFID readers, databases
アルゴリズム:Algorithms

Protected: Spatial statistics of Gaussian processes, with application to Bayesian optimization

Spatial statistics of Gaussian processes as an application of stochastic generative models used in digital transformation, artificial intelligence, and machine learning tasks, and tools ARD, Matern kernelsfor Bayesian optimization GPyOpt and GPFlow and GPyTorch
アルゴリズム:Algorithms

Protected: Nonparametric Bayes from the viewpoint of point processes – Poisson and gamma processes

Nonparametric Bayes from the viewpoint of point processes as an application of stochastic generative models used in digital transformation, artificial intelligence, and machine learning tasks - Poisson and gamma processes additive processes, Poisson random measures, gamma random measures, discreteness, Laplace functional, point processes
アルゴリズム:Algorithms

Protected: Calculation of Gaussian processes (1) Calculation by the auxiliary variable method

Approximate computation of Gaussian process models, an application of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks, using the partial data method and the auxiliary variable method
IOT技術:IOT Technology

Protected: Applications of State Space Models to Marketing

Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.
アルゴリズム:Algorithms

Protected: Support vector machines for unsupervised learning

Application of support vector machines for digital transformation, artificial intelligence, and machine learning tasks (1-class SVM with nu-SV classification algorithm for unsupervised classification used for anomaly detection)
Symbolic Logic

Protected: Estimating Bunt Effects Using Propensity Scores

Estimating baseball bunt effects using propensity scores as an application of causal inference for digital transformation, artificial intelligence, and machine learning tasks.
Symbolic Logic

Protected: Application of causal effect estimation – Causal and adjustment effects of commercial contact

Specific applications of statistical causal inference used in digital transformation, artificial intelligence, and machine learning tasks (causal and adjusted effects of CM contact using average treatment effect ATE and average treatment effect ATT in treatment groups)
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