Handling Over-fitting and Class-imbalance Jointly in Pittsburgh LCS

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61,04 
Įprasta kaina: 71,81 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
61,04 
Įprasta kaina: 71,81 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 71.8100 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Shubhra Kanti Karmaker Santu, Md. Monirul Islam,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2017
Knygos puslapių skaičius: 100
ISBN-10: 3659596566
ISBN-13: 9783659596568
Formatas: 220 x 150 x 6 mm. Knyga minkštu viršeliu
Kalba: Anglų

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