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BMCBI
2006
165views more  BMCBI 2006»
15 years 6 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
DAC
2006
ACM
15 years 8 months ago
Systematic software-based self-test for pipelined processors
Software-based self-test (SBST) has recently emerged as an effective methodology for the manufacturing test of processors and other components in systems-on-chip (SoCs). By moving ...
Mihalis Psarakis, Dimitris Gizopoulos, Miltiadis H...
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BMCBI
2010
95views more  BMCBI 2010»
15 years 6 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
DAC
1998
ACM
16 years 7 months ago
Phase Noise in Oscillators: A Unifying Theory and Numerical Methods for Characterisation
Phase noise is a topic of theoretical and practical interest in electronic circuits, as well as in other fields such as optics. Although progress has been made in understanding th...
Alper Demir, Amit Mehrotra, Jaijeet S. Roychowdhur...
DAC
2005
ACM
16 years 7 months ago
Efficient SAT solving: beyond supercubes
SAT (Boolean satisfiability) has become the primary Boolean reasoning engine for many EDA applications, so the efficiency of SAT solving is of great practical importance. Recently...
Domagoj Babic, Jesse D. Bingham, Alan J. Hu