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GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 8 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
ICML
2004
IEEE
16 years 5 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
INFOCOM
2007
IEEE
15 years 11 months ago
Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks
— The forthcoming 4G cellular systems will provide broadband wireless access to a variety of advanced data and voice services. In order to do that, these networks will have a sig...
David Amzallag, Joseph Naor, Danny Raz
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 9 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
CP
2009
Springer
16 years 5 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang