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» Sources of Variability in MEG
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JMLR
2010
144views more  JMLR 2010»
14 years 4 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
ICCAD
2008
IEEE
106views Hardware» more  ICCAD 2008»
15 years 6 months ago
Process variability-aware transient fault modeling and analysis
– Due to reduction in device feature size and supply voltage, the sensitivity of digital systems to transient faults is increasing dramatically. As technology scales further, the...
Natasa Miskov-Zivanov, Kai-Chiang Wu, Diana Marcul...
PADS
2009
ACM
15 years 4 months ago
Causal Program Slicing
Unexpected model behaviors need explanation, so valid behaviors can be separated from errors. Understanding unexpected behavior requires accumulation of insight into the behavior ...
Ross Gore, Paul F. Reynolds Jr.
COMPSAC
2009
IEEE
15 years 4 months ago
HEAT: An Integrated Static and Dynamic Approach for Thread Escape Analysis
Thread escape analysis, which determines whether and when a variable becomes shared by multiple threads, is a foundation for many other program analyses. Most existing escape anal...
Qichang Chen, Liqiang Wang, Zijiang Yang
DCC
1998
IEEE
15 years 2 months ago
Optimal Multiple Description Transform Coding of Gaussian Vectors
Multiple description coding (MDC) is source coding for multiple channels such that a decoder which receives an arbitrary subset of the channels may produce a useful reconstruction...
Vivek K. Goyal, Jelena Kovacevic