R 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
数学:Mathematics
R 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.
Symbolic Logic 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)
機械学習:Machine Learning 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)
機械学習:Machine Learning 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.
機械学習:Machine Learning 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
機械学習:Machine Learning 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
推論技術:inference Technology 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
推論技術:inference Technology 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.