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SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
15 years 5 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...
ICC
2007
IEEE
114views Communications» more  ICC 2007»
15 years 10 months ago
Optimizing Throughput with Carrier Sensing Adaptation for IEEE 802.11 Mesh Networks Based on Loss Differentiation
In high density (HD) mesh networks, packet losses can occur due to co-channel interference (asynchronous interference) or collisions (synchronous interference). In this paper, we f...
Hui Ma, Soo Young Shin, Sumit Roy
ESANN
2000
15 years 8 months ago
Local input-output stability of recurrent networks with time-varying weights
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
Jochen J. Steil
NIPS
1998
15 years 8 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
IJON
1998
119views more  IJON 1998»
15 years 6 months ago
Comment on "Recurrent neural networks: A constructive algorithm, and its properties"
In their paper [1], Tsoi and Tan present what they call a "canonical form", which they claim to be identical to that proposed in Nerrand et al [2]. They also claim that ...
Léon Personnaz, Gérard Dreyfus