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» Multiple regression with fuzzy data
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106
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ICML
2001
IEEE
16 years 1 months ago
Multiple Instance Regression
This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independen...
Soumya Ray, David Page
77
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FSS
2002
74views more  FSS 2002»
15 years 27 days ago
Fuzzy least-squares linear regression analysis for fuzzy input-output data
Miin-Shen Yang, Tzu-Shun Lin
95
Voted
EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
15 years 2 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...
110
Voted
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
15 years 7 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
83
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 6 months ago
Symbolic regression in multicollinearity problems
In this paper the potential of GP-generated symbolic regression for alleviating multicollinearity problems in multiple regression is presented with a case study in an industrial s...
Flor A. Castillo, Carlos M. Villa