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» Using Goal-Models to Analyze Variability
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BMCBI
2010
124views more  BMCBI 2010»
14 years 9 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
79
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HRI
2006
ACM
15 years 3 months ago
Interaction debugging: an integral approach to analyze human-robot interaction
Along with the development of interactive robots, controlled experiments and field trials are regularly conducted to stage human-robot interaction. Experience in this field has sh...
Tijn Kooijmans, Takayuki Kanda, Christoph Bartneck...
ISCAS
2003
IEEE
91views Hardware» more  ISCAS 2003»
15 years 2 months ago
Variable delay ripple carry adder with carry chain interrupt detection
Various implementations are known for the efficient implementation of adders. As opposed to traditional optimization techniques a statistical approach using early termination det...
Andreas Burg, Frank K. Gürkaynak, Hubert Kaes...
VMCAI
2007
Springer
15 years 3 months ago
DIVINE: DIscovering Variables IN Executables
Abstract. This paper addresses the problem of recovering variable-like entities when analyzing executables in the absence of debugging information. We show that variable-like entit...
Gogul Balakrishnan, Thomas W. Reps
CP
2004
Springer
15 years 2 months ago
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio
It is well known that the ratio of the number of clauses to the number of variables in a random k-SAT instance is highly correlated with the instance’s empirical hardness. We con...
Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoo...