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CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
15 years 6 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
15 years 7 months 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
15 years 7 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»
15 years 2 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
15 years 8 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