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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

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