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» Neural networks: Algorithms and applications
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ISNN
2010
Springer
15 years 5 months ago
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
Iván Gómez, Leonardo Franco, Jos&eac...
NN
2007
Springer
15 years 6 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
165
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 1 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
ALGOSENSORS
2006
Springer
15 years 11 months ago
A Flexible Algorithm for Sensor Network Partitioning and Self-partitioning Problems
Abstract. Motivated by the need for agent classification in sensor networking and autonomous vehicle control applications, we propose a flexible and distributed stochastic automato...
Sandip Roy, Yan Wan, Ali Saberi
206
Voted
INFOCOM
2002
IEEE
16 years 1 days ago
Application of Network Calculus to General Topologies using Turn-Prohibition
Abstract— Network calculus is known to apply in general only to feedforward routing networks, i.e., networks where routes do not create cycles of interdependent packet flows. In...
David Starobinski, Mark G. Karpovsky, Lev Zakrevsk...