Cost-conscious classifier ensembles

✍ Scribed by Cigdem Demir; Ethem Alpaydin

• Publisher: Elsevier Science
• Year: 2005
• Tongue: English
• Weight: 148 KB
• Volume: 26
• Category: Article
• ISSN: 0167-8655
• DOI: 10.1016/j.patrec.2005.03.028

✦ Synopsis

Ensemble methods improve the classification accuracy at the expense of testing complexity, resulting in increased computational costs in real-world applications. Developing a utility-based framework, we construct two novel cost-conscious ensembles; the first one determines a subset of classifiers and the second dynamically selects a single classifier. Both ensembles successfully switch between classifiers according to the accuracy-cost trade-off of an application.