Handling Over-fitting and Class-imbalance Jointly in Pittsburgh LCS
- Editore:
LAP Lambert Academic Publishing
- EAN:
9783659596568
- ISBN:
3659596566
- Pagine:
- 100
- Formato:
- Paperback
- Lingua:
- Tedesco
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Descrizione Handling Over-fitting and Class-imbalance Jointly in Pittsburgh LCS
Generalization ability of a classi¿er is an important issue for any classification task. Two prominent problems affecting the generalization ability are over-¿tting and class-imbalance. This book presents a new evolutionary system, i.e., EDARIC, for rule induction and classi¿cation. The evolutionary approach used in our new system is based on a destructive method that starts with large-sized rules and gradually decreases the sizes as evolution progresses. The experimental results show that our proposed evolutionary system obtains better generalization performance compared to the existing algorithms.
Fuori catalogo - Non ordinabile
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