Abstract:
The following topics are dealt with: learning (artificial intelligence); Bayes methods; Gaussian processes; neural nets; convolution; feedforward neural nets; feature ext...Show MoreMetadata
Abstract:
The following topics are dealt with: learning (artificial intelligence); Bayes methods; Gaussian processes; neural nets; convolution; feedforward neural nets; feature extraction; optimisation; pattern classification; probability.
Published in: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
Date of Conference: 17-20 September 2018
Date Added to IEEE Xplore: 01 November 2018
ISBN Information:
Print on Demand(PoD) ISSN: 1551-2541
Contents 