確率・統計:Probability and Statistics

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

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

Protected: From Averages to Individuality: The Open World of Statistical Modeling (2)hierarchical Bayesian model

From the Statistics of Means to the Statistics of Individuality Estimation with Bayesian Modeling

2021.09.23

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

Protected: From Averages to Individuality: The Open World of Statistical Modeling (1)Statistical Model Overview

From statistics of averages to statistics of personality, using Bayesian modeling, Hierarchical Bayes

2021.09.22

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

Protected: Introduction to Hierarchical Bayes (from GLM to Hierarchical Bayesian Model)

Bayesian inference that can be used for artificial intelligence (AI), natural language, and digital transformation (DX); generate hierarchical Bayesian models from GLM models to solve complex statistical models

2021.09.21

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: What is MCMC (Overview)

Markov Chain Monte Carlo (MCMC), a key tool in Bayesian inference for artificial intelligence (AI) tasks, digital transformation (DX), natural language processing, etc.

2021.09.07

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