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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 2 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ICIC
2005
Springer
14 years 1 months ago
A Sequential Niching Technique for Particle Swarm Optimization
This paper proposed a modified algorithm, sequential niching particle swarm optimization (SNPSO), for the attempt to get multiple maxima of multimodal function. Based on the sequen...
Jun Zhang, Jing-Ru Zhang, Kang Li
DSD
2011
IEEE
194views Hardware» more  DSD 2011»
12 years 8 months ago
Reliability-Aware Design Optimization for Multiprocessor Embedded Systems
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
DAC
2003
ACM
14 years 9 months ago
An O(nlogn) time algorithm for optimal buffer insertion
The classic algorithm for optimal buffer insertion due to van Ginneken has time and space complexity O(n2 ), where n is the number of possible buffer positions. We present a new a...
Weiping Shi, Zhuo Li
FOIKS
2008
Springer
14 years 5 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn