Package

weka.classifiers.mi

Synopsis

A simpler version of TLD, mu random but sigma^2 fixed and estimated via data.

For more information see:

Xin Xu (2003). Statistical learning in multiple instance problem. Hamilton, NZ.

The table below describes the options available for TLDSimple.

Option	Description
debug	If set to true, classifier may output additional info to the console.
numRuns	The number of runs to perform.
seed	The random number seed to be used.
usingCutOff	Whether to use an empirical cutoff.

The table below describes the capabilites of TLDSimple.

Capability	Supported
Class	Binary class, Missing class values
Attributes	Relational attributes, Nominal attributes, Empty nominal attributes, Missing values, Binary attributes, Unary attributes
Other	Only multi-Instance data
Min # of instances	1