Using a stopping rule to determine the size of the training sample in a classification problem

✍ Scribed by Subrata Kundu; Adam T. Martinsek

• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 326 KB
• Volume: 37
• Category: Article
• ISSN: 0167-7152
• DOI: 10.1016/s0167-7152(98)00094-7

✦ Synopsis

The problem of determining the size of the training sample needed to achieve sufficiently small misclassification probability is considered. The appropriate sample size is approximated using a stopping rule. The proposed procedure is asymptotically optimal. (~) 1998 Elsevier Science B.V.