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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 19 days ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
16 years 19 days ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg
IPPS
2006
IEEE
16 years 15 days ago
Making lockless synchronization fast: performance implications of memory reclamation
Achieving high performance for concurrent applications on modern multiprocessors remains challenging. Many programmers avoid locking to improve performance, while others replace l...
Thomas E. Hart, Paul E. McKenney, Angela Demke Bro...
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
16 years 1 days ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
WONS
2005
IEEE
16 years 1 days ago
Broadcasting in Hybrid Ad Hoc Networks
In this paper, we consider hybrid ad hoc networks, which are composed of two kinds of nodes, regular ones and nodes with additional capabilities. For example, multi-hop cellular a...
François Ingelrest, David Simplot-Ryl, Ivan...
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