Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q
Multi Metallic Simpson Jenee Floral Metallic Jessica Women's Brocade

Jenee Metallic Multi Women's Brocade Floral Metallic Simpson Jessica ERWOnq8q

Abstract

A long-standing goal of machine learning is to build a system which can detect a large number of classes with accuracy and efficiency. Some relationships between classes would become a scale-free network in which we can classify the assigned class very fast. Many available methods for multiclass problems have been proposed in the literatures, such as AdaBoost.ECC [4], AdaBoost.ERP, [7] and JointBoost [12]. However, many of them are inaccurate or time-consuming on training. In this paper, we propose a new algorithm, called AdaBoost.ERC, which combines the approach of Dietterich and Bakiri [2] based on error correcting output codes (ECOC) and Shapire’s boosting algorithm [3] [10]. With advantages of both concepts, our new approach achieves better performance compared to AdaBoost.ECC, AdaBoost.ERP, and JointBoost.

Topics

14 Figures and Tables

Download Full PDF Version (Non-Commercial Use)

Cordani Cordani Suede Womens Corda Glenna Womens Od5qqw6x