Learning with many experts: Model selection and sparsity

Statistical Analysis and Data Mining

Rafael Izbicki¹  Rafael Bassi Stern¹ 

[1] Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA

关键词: multiple annotators;    crowdsourcing;    sparsity;    noisy data;    EM algorithm;    risk minimization;    classification;   

DOI  :  10.1002/sam.11206

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown