hummingbird

推論技術:inference Technology

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.
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.
推論技術:inference Technology

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
Clojure

Reference books on machine learning in Clojure

An introduction to machine learning books with Clojure used for digital transformation and artificial intelligence tasks
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)
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.
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: Language Models in Speech Recognition

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