Package
weka.filters.unsupervised.attribute
Synopsis
Implements the MILES transformation that maps multiple instance bags into a high-dimensional single-instance feature space.
For more information see:
Y. Chen, J. Bi, J.Z. Wang (2006). MILES: Multiple-instance learning via embedded instance selection. IEEE PAMI. 28(12):1931-1947.
James Foulds, Eibe Frank: Revisiting multiple-instance learning via embedded instance selection. In: 21st Australasian Joint Conference on Artificial Intelligence, 300-310, 2008.
Options
The table below describes the options available for MILESFilter.
Option |
Description |
|---|---|
debug |
Turns on output of debugging information. |
sigma |
The value of the sigma parameter. |
Capabilities
The table below describes the capabilities of MILESFilter.
Capability |
Supported |
|---|---|
Class |
Relational class, Unary class, String class, Binary class, Nominal class, Date class, Empty nominal class, Numeric class |
Attributes |
Numeric attributes, Empty nominal attributes, Date attributes, Relational attributes, Unary attributes, Nominal attributes, String attributes, Binary attributes |
Other |
Only multi-Instance data |
Min # of instances |
0 |