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» Using Goal-Models to Analyze Variability
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BMCBI
2010
124views more  BMCBI 2010»
13 years 7 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...
HRI
2006
ACM
14 years 1 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»
14 years 23 days 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
14 years 1 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
14 years 27 days 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...