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

Search LAMDA


Description: MissSVM is a package for solving multi-instance learning problems using semi-supervised support vector machines. The purpose of MissSVM is to show that if the assumption of i.i.d. instances were taken, multi-instance learning can be viewed as a special case of semi-supervised learning, and the field of multi-instance learning might be merged into the field of semi-supervised learning. Thus, future multi-instance learning research should assume only i.i.d. bags and avoid the assumption of i.i.d. instances.


•Z.-H. Zhou and J.-M. Xu. On the relation between multi-instance learning and semi-supervised learning. In: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, 2007.

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 C++. The QP problem is solved by using Mosek 4.0, so you should include it as library of your project. You can get Mosek from

ATTN2: This package was developed by Mr. Jun-Ming Xu ( For any problem concerning the code, please feel free to contact Mr. Xu.

Download: code (6.0Kb)
  Name Size
- MissSVM.rar 5.33 KB

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