BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
The USB Multi-Interface driver is a replacement driver for the system provided Multi-Interface driver. This driver was developed to overcome some bugs that are included in the build in driver and to introduce new features. The driver is compatible to the system provided Multi-Interface driver. If the driver is installed on a system, it does not automatically replace the system provided driver. It exists parallel to the system driver and is assigned to a device during the installation process.
