Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

We report a neural architecture search framework, BioNAS, that is tailored for biomedical researchers to easily build, evaluate, and uncover novel knowledge from interpretable deep learning models. The introduction of knowledge dissimilarity functions in BioNAS enables the joint optimization of pred...

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Veröffentlicht in:	arXiv.org 2019-09
Hauptverfasser:	Zhang, Zijun, Zhou, Linqi, Gou, Liangke, Ying Nian Wu
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Computer simulation Deep learning Knowledge Machine learning Optimization
Online-Zugang:	Volltext
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