Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance
نویسندگان
چکیده
منابع مشابه
Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance
Machine learning is a very important approach to pattern classification. This paper provides a better insight into Incremental Attribute Learning (IAL) with further analysis as to why it can exhibit better performance than conventional batch training. IAL is a novel supervised machine learning strategy, which gradually trains features in one or more chunks. Previous research showed that IAL can...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2015
ISSN: 2073-8994
DOI: 10.3390/sym7010053