Machine Learning: Between Accuracy and Interpretability
作者： I. Bratko
DOI: 10.1007/978-3-7091-2668-4_10
关键词: Measure (mathematics) 、 Domain (software engineering) 、 Machine learning 、 Medical diagnosis 、 Computer science 、 USable 、 Event (computing) 、 Decision tree 、 Artificial intelligence 、 Discrete event simulation 、 Interpretability
摘要: … measure of success of Machine Learning (ML) applications. However, experience from many ML applications in difficult, domains indicates the importance of interpretability of induced …
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sci-hub.st 参考文章(8)
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