Image Home
Image People
Image Publication
Image Applications
Image Data & Code
Image Library
Image Seminar
Image Link
Image Album

Search LAMDA


Description: The package includes the MATLAB code of UDEED, which is designed for ensemble learning with unlabeled data. Specifically, UDEED works by maximizing accuracies of base learners on labeled data while maximizing diversity among them on unlabeled data. A Readme file and with the sample data are included in the package.

Reference: M.-L. Zhang and Z.-H. Zhou. Exploiting unlabeled data to enhance ensemble diversity. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), Sydney, Australia, 2010.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou ( ).

Requirement: The package was developed with MATLAB (version 7.6.0).

ATTN2: This package was developed by Dr. Min-Ling Zhang ( For any problem concerning the code, please feel free to contact Dr. Zhang.

Download: code (65KB)
  Name Size

(for FireFox 3+ and IE 7+)
Contact LAMDA: (email) (tel) +86-025-89681608 © LAMDA, 2016