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DAC
2007
ACM
15 years 11 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar
160
Voted
VLDB
2007
ACM
260views Database» more  VLDB 2007»
15 years 10 months ago
Approaching the Skyline in Z Order
Given a set of multidimensional data points, skyline query retrieves a set of data points that are not dominated by any other points. This query is useful for multi-preference ana...
Ken C. K. Lee, Baihua Zheng, Huajing Li, Wang-Chie...
SEMWEB
2009
Springer
15 years 4 months ago
Axiomatic First-Order Probability
Most languages for the Semantic Web have their logical basis in some fragment of first-order logic. Thus, integrating first-order logic with probability is fundamental for represen...
Kathryn B. Laskey
ARCS
2010
Springer
15 years 4 months ago
How to Enhance a Superscalar Processor to Provide Hard Real-Time Capable In-Order SMT
This paper describes how a superscalar in-order processor must be modified to support Simultaneous Multithreading (SMT) such that time-predictability is preserved for hard real-ti...
Jörg Mische, Irakli Guliashvili, Sascha Uhrig...
IJCNN
2006
IEEE
15 years 3 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer