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PPSN
2004
Springer
15 years 8 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
ASPDAC
2005
ACM
98views Hardware» more  ASPDAC 2005»
15 years 5 months ago
Online hardware/software partitioning in networked embedded systems
Abstract— Today’s embedded systems are typically distributed and more often confronted with timevarying demands. Existing methodologies that optimize the partitioning of comput...
Thilo Streichert, Christian Haubelt, Jürgen T...
CVPR
2008
IEEE
16 years 5 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 7 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
CODES
2010
IEEE
15 years 1 months ago
A greedy buffer allocation algorithm for power-aware communication in body sensor networks
Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. In spite of their potentials for many application domains,...
Hassan Ghasemzadeh, Roozbeh Jafari