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» Mixture models for analysis of melting temperature data
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IJCNN
2006
IEEE
15 years 3 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
ENVSOFT
2007
78views more  ENVSOFT 2007»
14 years 9 months ago
A multi-model approach to analysis of environmental phenomena
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
Orazio Giustolisi, Angelo Doglioni, D. A. Savic, B...
NIPS
2004
14 years 11 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...
HICSS
2007
IEEE
132views Biometrics» more  HICSS 2007»
15 years 4 months ago
Modeling the Economic Cost of Transmission Bottlenecks
— The purpose of this paper is to model the stochastic behavior of nodal prices and use the predicted price differences between zones as the basis for measuring the magnitude and...
Timothy D. Mount, Jaeuk Ju
DAC
2006
ACM
15 years 3 months ago
Modeling and minimization of PMOS NBTI effect for robust nanometer design
Negative bias temperature instability (NBTI) has become the dominant reliability concern for nanoscale PMOS transistors. In this paper, a predictive model is developed for the deg...
Rakesh Vattikonda, Wenping Wang, Yu Cao