Improving progressive sampling via meta-learning

• Tipo: Artigo em Revista Científica Internacional
• Data: 2003

Autores

Rui Leite (Autor) FEP; Pavel Brazdil (Autor) FEP

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-000-KH0

DOI: 10.1007/978-3-540-24580-3_37

Abstract (EN): We present a method that can be seen as an improvement of standard progressive sampling method. The method exploits information concerning performance of a given algorithm on past datasets, which is used to generate predictions of the stopping point. Experimental evaluation shows that the method can lead to significant time savings without significant losses in accuracy.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11