人工知能:Artificial Intelligence

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)
2021.10.03
Symbolic Logic推論技術:inference Technology数理論理学:Mathematical 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)
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
IOT技術:IOT Technology

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
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
機械学習:Machine Learning

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
機械学習:Machine Learning

Protected: Application of Hidden Markov Models to Speech Recognition

Overview of hidden Markov models (HMMs) for speech recognition for use in digital transformation and artificial intelligence tasks (Baum-Welch algorithm, Viterbi algorithm, EM algorithm, CDHMM).
2021.09.30
機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術
機械学習:Machine Learning

Protected: Speech Recognition: Overview and Application of Dynamic Programming (DP)

Overview of speech recognition techniques that can be used for digital transformation and artificial intelligence tasks, and recognition techniques using dynamic programming (DP) methods (DP matching, beam search, word spotting, two-stage DP matching, level building method, one-pass DP matching)
2021.09.29
機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術
機械学習:Machine Learning

Protected: Speech Analysis:AD transform, analytical window, Fourier transform and vector quantization

Pre-processing of speech recognition for digital transformation and artificial intelligence tasks, from AD conversion to feature extraction and vector quantization
2021.09.28
機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術
機械学習:Machine Learning

Dealing with the meaning of symbols on a computer

An overview of the steps to handle the meaning of symbols in computers used for digital transformation and artificial intelligence tasks.
2021.09.27
機械学習:Machine Learning画像認識技術自然言語処理:Natural Language Processing音声信号認識技術
推論技術:inference Technology

Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN

Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks.
2021.09.26
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
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