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» The complexity of stochastic sequences
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NIPS
2007
15 years 8 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 7 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 7 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
ADT
2008
15 years 6 months ago
Analytical investigation of intersection based range-free localization
By range-free localization, the positions of a mobile device can be limited to the coverage area of a radio access network cell. The drawback of such approach is the coarseness of ...
Michel Sortais, Sven D. Hermann, Adam Wolisz
ENTCS
2010
127views more  ENTCS 2010»
15 years 6 months ago
Combining Model Reductions
Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge num...
Ferdinanda Camporesi, Jérôme Feret, H...