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» Evolving Complex Neural Networks
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ECAL
2007
Springer
15 years 4 months ago
Adapting to Your Body
Abstract. This paper investigates the processes used by an evolved, embodied simulated agent to adapt to large disruptive changes in its sensor morphology, whilst maintaining perfo...
Peter Fine, Ezequiel A. Di Paolo, Eduardo Izquierd...
CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 10 months ago
The Degree Distribution of Random k-Trees
A power law degree distribution is established for a graph evolution model based on the graph class of k-trees. This k-tree-based graph process can be viewed as an idealized model...
Yong Gao
SYRCODIS
2007
126views Database» more  SYRCODIS 2007»
14 years 11 months ago
Concept Lattice Reduction by Singular Value Decomposition
High complexity of lattice construction algorithms and uneasy way of visualising lattices are two important problems connected with the formal concept analysis. Algorithm complexi...
Václav Snásel, Martin Polovincak, Hu...
76
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NN
2006
Springer
218views Neural Networks» more  NN 2006»
14 years 10 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 10 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná