Principled Machine Learning
IEEE Journal of Selected Topics in Quantum Electronics(2022)
摘要
We introduce the underlying concepts which give rise to some of the commonly used machine learning methods, excluding deep-learning machines and neural networks. We point to their advantages, limitations and potential use in various areas of photonics. The main methods covered include parametric and non-parametric regression and classification techniques, kernel-based methods and support vector machines, decision trees, probabilistic models, Bayesian graphs, mixture models, Gaussian processes, message passing methods and visual informatics.
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关键词
Statistical machine learning,kernel-based methods,probabilistic methods,deciion trees,message passing techniques,dimensionality reduction,visual informatics
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