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» Experimental evaluation of optimal CSMA
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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 5 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 10 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
PPDP
2010
Springer
15 years 2 months ago
Deriving predicate statistics in datalog
Database query optimizers rely on data statistics in selecting query execution plans. Similar query optimization techniques are desirable for deductive databases and, to make this...
Senlin Liang, Michael Kifer
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 10 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
108
Voted
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 7 months ago
DECA: dimension extracting coevolutionary algorithm
Coevolution has often been based on averaged outcomes, resulting in unstable evaluation. Several theoretical approaches have used archives to provide stable evaluation. However, t...
Edwin D. de Jong, Anthony Bucci