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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
16 years 11 hour ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
IPPS
1998
IEEE
15 years 11 months ago
An Efficient Counting Network
Counting networks were introduced as a new class of concurrent, distributed, low contention data structures suitable for implementing shared counters. Their structure is similar t...
Costas Busch, Marios Mavronicolas
173
Voted
ICWN
2003
15 years 8 months ago
Energy-Efficient Bootstrapping Protocol for Sensor Networks
Sensor networks are poised for increasingly wider uses in many military and civil applications. We present a bootstrapping protocol for a class of sensor networks in which the net...
Rajesh Mathew, Mohamed F. Younis
164
Voted
IJCAI
1997
15 years 8 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
ENGL
2007
89views more  ENGL 2007»
15 years 6 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...