数学:Mathematics

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

2021.10.20

地理空間情報処理推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

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.

2021.10.19

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

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)

2021.10.18

地理空間情報処理推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

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.

2021.10.16

IOT技術:IOT Technology地理空間情報処理推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

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

2021.10.14

R地理空間情報処理確率・統計:Probability and Statistics

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).

2021.10.11

機械学習:Machine Learning確率・統計:Probability and Statistics

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.

2021.10.05

機械学習:Machine Learning確率・統計:Probability and Statistics音声信号認識技術

Creating Logic, Part I: Beginning Logic Reading Notes

A textbook of logic for artificial intelligence and basic mathematics (from propositional logic to predicate logic, and then semantics and multi-valued logic, intuitionistic logic)

2021.10.03

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

Protected:

Overview of noise reduction techniques to improve speech recognition for digital transformation and artificial intelligence tasks (additive noise, multiplicative noise and active noise control, parallel model coupling, PMC, factorial HMM)

2021.10.03

機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics音声信号認識技術

Protected: Large-vocabulary continuous speech recognition

Overview of large-vocabulary continuous speech recognition, a technology for recognizing unconstrained general speech in speech recognition technology used for digital transformation and artificial intelligence tasks.

2021.10.02

機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing音声信号認識技術