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).

2021.10.11

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

Protected: Applying Deep Learning to Speech Recognition

Overview of neural network applications (TDNN, RNN, CNN) and deep learning applications (LSTM, CTC) for speech recognition technology used in digital transformation and artificial intelligence tasks

2021.10.07

機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術

Concrete and Abstract – natural language sematics and explain

Concrete and abstract to consider the meaning of natural language and explainable machine learning that can be used for digital transformation and artificial intelligence tasks.

2021.10.06

推論技術:inference Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

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: Instance recognition and retrieval (1) Instance retrieval using BoVW

Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence

2021.10.04

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Reference books on machine learning in Clojure

An introduction to machine learning books with Clojure used for digital transformation and artificial intelligence tasks

2021.10.03

Clojure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)

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

Sensor Data & IOT Technologies

Overview of sensor information handling, which is a central element of IOT technologies used for digital transformation and artificial intelligence tasks.

2021.10.02

IOT技術:IOT TechnologyStream Data Processingエキスパートシステム:expertsystem推論技術:inference Technology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.

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: Language Models in Speech Recognition

Language models (n-gram models and probabilistic models) used in speech recognition for digital transformation and artificial intelligence tasks.

2021.10.01

機械学習:Machine Learning自然言語処理:Natural Language Processing音声信号認識技術