Toward Interpretable Machine Learning Models for Materials Discovery
نویسندگان
چکیده
منابع مشابه
Making machine learning models interpretable
Data of different levels of complexity and of ever growing diversity of characteristics are the raw materials that machine learning practitioners try to model using their wide palette of methods and tools. The obtained models are meant to be a synthetic representation of the available, observed data that captures some of their intrinsic regularities or patterns. Therefore, the use of machine le...
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ژورنال
عنوان ژورنال: Advanced Intelligent Systems
سال: 2019
ISSN: 2640-4567,2640-4567
DOI: 10.1002/aisy.201900045