Correlation-based Feature Ordering for Classification based on Neural Incremental Attribute Learning
نویسندگان
چکیده
منابع مشابه
Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning
Feature ordering is a significant data preprocessing method in Incremental Attribute Learning (IAL), a novel machine learning approach which gradually trains features according to a given order. Previous research has shown that, similar to feature selection, feature ordering is also important based on each feature’s discrimination ability, and should be sorted in a descending order of their dis...
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15 صفحه اولNeural Incremental Attribute Learning in Groups
Incremental Attribute Learning (IAL) is a feasible approach for solving high-dimensional pattern recognition problems. It gradually trains features one by one. Previous research indicated that supervised machine learning with input attribute ordering can improve classification results. Moreover, input space partitioning can also effectively reduce the interference among features. This study pro...
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ژورنال
عنوان ژورنال: International Journal of Machine Learning and Computing
سال: 2012
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2012.v2.242