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DAC
2008
ACM
14 years 8 months ago
Parameterized timing analysis with general delay models and arbitrary variation sources
Many recent techniques for timing analysis under variability, in which delay is an explicit function of underlying parameters, may be described as parameterized timing analysis. T...
Khaled R. Heloue, Farid N. Najm
GANDC
2011
93views more  GANDC 2011»
12 years 7 months ago
Bayesian spatial modeling and interpolation using copulas
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Hannes Kazianka, Jürgen Pilz
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 5 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
DSMML
2004
Springer
14 years 1 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
GLOBECOM
2010
IEEE
13 years 5 months ago
Energy-Efficient Power Loading for a MIMO-SVD System and Its Performance in Flat Fading
In this paper we formulate a power loading problem for the spatial subchannels (parallel channels) of a single-carrier MIMO-SVD system. The power loading solution is designed to mi...
Raghavendra S. Prabhu, Babak Daneshrad