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ESANN
2007
15 years 5 months ago
A supervised learning approach based on STDP and polychronization in spiking neuron networks
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Hélène Paugam-Moisy, Régis Ma...
ECCC
2006
97views more  ECCC 2006»
15 years 4 months ago
Cryptographic Hardness Results for Learning Intersections of Halfspaces
We give the first representation-independent hardness results for PAC learning intersections of halfspaces, a central concept class in computational learning theory. Our hardness ...
Adam R. Klivans, Alexander A. Sherstov
NN
2006
Springer
146views Neural Networks» more  NN 2006»
15 years 4 months ago
Comparison of relevance learning vector quantization with other metric adaptive classification methods
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
ICN
2005
Springer
15 years 10 months ago
A Fast Path Recovery Mechanism for MPLS Networks
The major concept of the Multi-Protocol Label Switching (MPLS) network uses the Label Switch Path (LSP) technique that provides high performance in packet delivery without routing ...
Jenhui Chen, Chung-Ching Chiou, Shih-Lin Wu
IPPS
2000
IEEE
15 years 8 months ago
ClusterNet: An Object-Oriented Cluster Network
Abstract. Parallel processing is based on utilizing a group of processors to efficiently solve large problems faster than is possible on a single processor. To accomplish this, the...
Raymond Hoare