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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 5 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
153
Voted
I3E
2009
149views Business» more  I3E 2009»
15 years 1 months ago
Facilitating Business to Government Interaction Using a Citizen-Centric Web 2.0 Model
Modelling Business to Government (B2G) interaction is considered to be more complex than Citizen to Government (C2G) interaction, since the concept of authorized citizens, represen...
Alexandros Dais, Mara Nikolaidou, Dimosthenis Anag...
JMLR
2010
162views more  JMLR 2010»
14 years 10 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
VLSI
2005
Springer
15 years 9 months ago
Modeling the Traffic Effect for the Application Cores Mapping Problem onto NoCs
This work addresses the problem of application mapping in networks-on-chip (NoCs) having as goal to minimize the total dynamic energy consumption of a complex system-on-a-chip (So...
César A. M. Marcon, José Carlos S. P...
158
Voted
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
15 years 9 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...