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

Search LAMDA


Description: BPMIP is a package for training multi-instance BP neural networks. The package includes the MATLAB code of the algorithm BP-MIP. It is very easy to implement BP-MIP-DD and BP-MIP-PCA based on this package. Actually, running Diverse Density at first and then using the learned scales to rescale the attributes before presenting the data to BPMIP, you get BP-MIP-DD; running principal component analysis (PCA) at first and then presenting the projected data to BP-MIP, you get BP-MIP-PCA.

Z.-H. Zhou, M.-L. Zhang. Neural networks for multi-instance learning. Technical Report, AI Lab, Computer Science & Technology Department, Nanjing University, Nanjing, China, Aug. 2002.

M.-L. Zhang, Z.-H. Zhou. Improve multi-instance neural networks through feature selection. Neural Processing Letters, 2004, 19(1): 1-10.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

Requirement: The package was developed with MATLAB.

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Mr. Zhang.

Download: [code] (2.3Kb)

  Name Size
- BPMIP.rar 2.29 KB

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