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» Variability in Automation System Models
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 11 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
CHI
2008
ACM
15 years 8 months ago
Word usage and posting behaviors: modeling blogs with unobtrusive data collection methods
We present a large-scale analysis of the content of weblogs dating back to the release of the Blogger program in 1999. Over one million blogs were analyzed from their conception t...
Adam D. I. Kramer, Kerry Rodden
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
15 years 4 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...
ECCV
2006
Springer
16 years 8 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
DAC
2006
ACM
16 years 7 months ago
Harvesting aware power management for sensor networks
Energy harvesting offers a promising alternative to solve the sustainability limitations arising from battery size constraints in sensor networks. Several considerations in using ...
Aman Kansal, Jason Hsu, Mani B. Srivastava, Vijay ...