確率・統計:Probability and Statistics

推論技術:inference Technology

Protected: From Global Models to Local Models State Space Models and Simulation

Simulation interpretation using general state space models and particle filters, one of the probability generation models used in digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Protected: Statistical Science to Incorporate Individual and Regional Differences Case Study in Medical Field

Application of Bayesian statistics to medical data with individual and regional differences used for digital transformation and artificial intelligence tasks
IOT技術:IOT Technology

Protected: Location Privacy -k-anonymization and anonymization with hidden Markov models

Information anonymization using k-anonymization and hidden Markov models (HMMs) for location privacy to be used in digital transformation and artificial intelligence tasks.
地理空間情報処理

Protected: Geospatial Information in Motion -Simulation and data assimilation

Simulation for human flow analysis for digital transformation and artificial intelligence tasks and assimilation of real data with probability generation models
推論技術:inference Technology

Protected: Individuality and parameter estimation (Interpreting the Hierarchical Bayesian Model)

Relationship between global parameter estimation and local parameters (e.g., individual differences) for understanding hierarchical Bayesian models.
地理空間情報処理

Protected: Capturing the Flu Epidemic on Social Media

Extraction of context (e.g., location information) from text information in social media for digital trasformation and artificial intelligence tasks (location information extraction from content using probabilistic framework and graph approach)
IOT技術:IOT Technology

Protected: An Invitation to Spatial Epidemiology – What can we see from the map of intractable diseases?

Geographic information analysis for epidemiology using Poisson-Gamma model, CDT and scan statistic test for digital transformation and artificial intelligence tasks.
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Protected: Hierarchical Bayesian Modeling on a Map

Application of Hierarchical Bayesian Inference to Geospatial Information for Digital Transformation and Artificial Intelligence Tasks (OpenBUGS) and Visualization with mandara
機械学習:Machine Learning

Protected: Capturing “Individuality” with Hierarchical Models (Hierarchical Bayesian Models and Empirical Bayesian Methods (GLMM))

Understanding "personality" in hierarchical Bayesian models and solving with empirical Bayesian methods (GLMM), which can be used for artificial intelligence (AI), natural language processing, and digital transformation (DX).
機械学習:Machine Learning

Protected: Speaker adaptation and speaker recognition

Speaker adaptation (HMM) to improve recognition accuracy for digital transformation and artificial intelligence tasks, and speaker recognition (maximum likelihood linear regression, MLLR, i-vector) for security and other applications.
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