Simba: Simba

In RuzhangZhao/Immigrate: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection

Description

This function performs Simba(Iterative Search Margin Based Algorithm).

Usage

Simba(xx, yy, T = 5)

Arguments

xx	model matrix of explanatory variables
yy	label vector
T	number of instance used to update weights, default to be 5

Value

w	new weight after Simba algorithm

References

Gilad-Bachrach R, Navot A, Tishby N. Margin based feature selection-theory and algorithms[C]//Proceedings of the twenty-first international conference on Machine learning. ACM, 2004: 43.

Examples

data(park)
xx<-park$xx
yy<-park$yy
re<-Simba(xx,yy)
print(re)

RuzhangZhao/Immigrate documentation built on May 24, 2020, 5:38 a.m.