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VLSID
2006
IEEE
183views VLSI» more  VLSID 2006»
13 years 11 months ago
Design Challenges for High Performance Nano-Technology
This tutorial present the key aspects of design challenges and its solutions that are being experienced in VLSI design in the era of nano technology. The focus will be on design c...
Goutam Debnath, Paul J. Thadikaran
DAC
1994
ACM
13 years 9 months ago
The Design of High-Performance Microprocessors at Digital
Today's high-performance single-chip CMOS microprocessors are the most complex and challenging chip designs ever implemented. To stay on the leading edge, Digital's micro...
Thomas F. Fox
NIPS
2008
13 years 7 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
BMCBI
2007
215views more  BMCBI 2007»
13 years 5 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer