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GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 7 months ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...
ALT
2010
Springer
15 years 5 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
ISLPED
2007
ACM
123views Hardware» more  ISLPED 2007»
15 years 5 months ago
Approximation algorithms for power minimization of earliest deadline first and rate monotonic schedules
We address power minimization of earliest deadline first and ratemonotonic schedules by voltage and frequency scaling. We prove that the problems are NP-hard, and present (1+ ) f...
Sushu Zhang, Karam S. Chatha, Goran Konjevod
AIA
2007
15 years 5 months ago
Improving the aggregating algorithm for regression
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
Steven Busuttil, Yuri Kalnishkan, Alexander Gammer...
WICON
2008
15 years 5 months ago
A graph based routing algorithm for multi-hop cognitive radio networks
Cognitive radio networks that allow dynamic spectrum access are considered spectrally more efficient than networks using fixed spectral allocation. These networks are characterize...
Yogesh Reddy Kondareddy, Prathima Agrawal