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BMCBI
2007
215views more  BMCBI 2007»
15 years 4 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
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 8 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
ISPW
2005
IEEE
15 years 10 months ago
Evolving an Experience Base for Software Process Research
Since 1996 the USC Center for Software Engineering has been accumulating a large amount of software process experience through many realclient project software engineering practice...
Zhihao Chen, Daniel Port, Yue Chen, Barry W. Boehm
APSEC
2003
IEEE
15 years 9 months ago
Selecting Components: a Process for Context-Driven Evaluation
This paper describes a process for selecting and evaluating candidates for component based software engineering. The process is aimed at developers sourcing components from third ...
Valerie Maxville, Chiou Peng Lam, Jocelyn Armarego
TSE
2010
197views more  TSE 2010»
14 years 11 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi