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IDA
2009
Springer
16 years 20 days ago
How to Control Clustering Results? Flexible Clustering Aggregation
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...
LCN
2007
IEEE
16 years 12 days ago
A Novel MIMO-Aware Distributed Media Access Control Scheme for IEEE 802.11 Wireless Local Area Networks
—This paper proposes a new distributed media access control (MAC) scheme to improve the network performance of Multiple-Input Multiple-Output (MIMO) wireless systems. In particul...
Dan J. Dechene, Khalim Amjad Meerja, Abdallah Sham...
DRM
2005
Springer
15 years 11 months ago
Control flow based obfuscation
A software obfuscator is a program O to transform a source program P for protection against malicious reverse engineering. O should be correct (O(P) has same functionality with P)...
Jun Ge, Soma Chaudhuri, Akhilesh Tyagi
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ATAL
2004
Springer
15 years 11 months ago
Product Distribution Theory for Control of Multi-Agent Systems
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
Chiu Fan Lee, David H. Wolpert