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CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
13 years 11 months ago
Improved independent component regression modeling
The conventional independent component regression (ICR), as an exclusive two-step implementation algorithm, has the risk similar to principal component regression (PCR). That is, t...
Chunhui Zhao, Furong Gao, Tao Liu, Fuli Wang
ICSM
2002
IEEE
14 years 14 days ago
Run-time Evolution for Embedded Component-Oriented Systems
This position paper describes ongoing work in which the Java-based SEESCOA component system is extended with functionality for run-time evolution. First, an assessment is made of ...
Yves Vandewoude, Yolande Berbers
WEBI
2001
Springer
13 years 12 months ago
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichiha...
CSDA
2006
304views more  CSDA 2006»
13 years 7 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
FASE
2005
Springer
14 years 1 months ago
Modelling Parametric Contracts and the State Space of Composite Components by Graph Grammars
Modeling the dependencies between provided and required services within a software component is necessary for several reasons, such as automated component adaptation and architectu...
Ralf Reussner, Jens Happe, Annegret Habel