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» The Four Phase Method for Modelling Complex Systems
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GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
TSMC
2008
134views more  TSMC 2008»
14 years 9 months ago
Expanding the Criteria for Evaluating Socio-Technical Software
Abstract--This paper compares two evaluation criterion frameworks for sociotechnical software. Research on the technology acceptance model (TAM) confirms that perceived usefulness ...
Brian Whitworth, Victor Bañuls, Cheickna Sy...
ICASSP
2011
IEEE
14 years 1 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
INFOCOM
2010
IEEE
14 years 8 months ago
Optimal SINR-based Random Access
— Random access protocols, such as Aloha, are commonly modeled in wireless ad-hoc networks by using the protocol model. However, it is well-known that the protocol model is not a...
Amir Hamed Mohsenian Rad, Vincent W. S. Wong, Robe...
CC
2006
Springer
124views System Software» more  CC 2006»
15 years 1 months ago
Polyhedral Code Generation in the Real World
The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...
Nicolas Vasilache, Cédric Bastoul, Albert C...