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IWANN
1999
Springer
15 years 8 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
CORR
2010
Springer
177views Education» more  CORR 2010»
15 years 1 months ago
AntiJam: Efficient Medium Access despite Adaptive and Reactive Jamming
Abstract--Intentional interference constitutes a major threat for communication networks operating over a shared medium where availability is imperative. Jamming attacks are often ...
Andréa W. Richa, Christian Scheideler, Stef...
DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 6 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
CSJM
2006
76views more  CSJM 2006»
15 years 4 months ago
Graph Coloring using Peer-to-Peer Networks
The popularity of distributed file systems continues to grow in last years. The reasons they are preferred over traditional centralized systems include fault tolerance, availabili...
Adrian Iftene, Cornelius Croitoru
EDBT
2002
ACM
141views Database» more  EDBT 2002»
16 years 4 months ago
Efficient OLAP Query Processing in Distributed Data Warehouses
Abstract. The success of Internet applications has led to an explosive growth in the demand for bandwidth from ISPs. Managing an IP network requires collecting and analyzing networ...
Michael O. Akinde, Michael H. Böhlen, Theodor...