Discrete representations of continuous data using deep learning and clustering

Discrete representations of continuous data using deep learning and clustering

<p>The divide between continuous and discrete data is a fundamental one in computer science and mathematics, as well as related areas such as cognitive science. Historically, most of computing has operated in the discrete domain, but connectionism offers an alternative set of techniques for re...

書誌詳細
第一著者:	Mahon, L
その他の著者:	Lukasiewicz, T
フォーマット:	学位論文
言語:	English
出版事項:	2022
主題:	Machine learning Artificial intelligence

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