人工知能:Artificial Intelligence

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
python

Python and Machine Learning

Overview of Python, a programming language used in digital transformation , artificial intelligence , and machine learning
2021.09.23
pythonプログラミング言語:Programming Language機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing
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
2021.09.23
機械学習:Machine Learning確率・統計:Probability and Statistics
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
2021.09.22
機械学習:Machine Learning確率・統計:Probability and Statistics
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