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» A Problem Space Approach to Expert System Specification
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146
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 7 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
162
Voted
SIAMSC
2008
198views more  SIAMSC 2008»
15 years 3 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
122
Voted
VLDB
1997
ACM
140views Database» more  VLDB 1997»
15 years 7 months ago
Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources
Scheduling query execution plans is a particularly complex problem in hierarchical parallel systems, where each site consists of a collection of local time-shared (e.g., CPU(s) or...
Minos N. Garofalakis, Yannis E. Ioannidis
144
Voted
ESANN
2001
15 years 4 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
115
Voted
CAISE
2006
Springer
15 years 7 months ago
From Requirements Models to Formal Specifications in B
Abstract. The development of critical systems requires a high assurance process from requirements to the running code. Formal methods, such as B, now provide industry-strength tool...
Christophe Ponsard, Emmanuel Dieul