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» Optimal spontaneous activity in neural network modeling
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PODC
1997
ACM
15 years 2 months ago
Computing Vector Functions on Anonymous Networks
In an anonymous network processors have no distinct identifiers. For any class of anonymous networks, we characterize effectively the vector functions f : n → n which are compu...
Paolo Boldi, Sebastiano Vigna
IJCNN
2007
IEEE
15 years 4 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
14 years 11 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
CONNECTION
2006
172views more  CONNECTION 2006»
14 years 10 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
MOBIHOC
2010
ACM
14 years 7 months ago
On quality of monitoring for multi-channel wireless infrastructure networks
Passive monitoring utilizing distributed wireless sniffers is an effective technique to monitor activities in wireless infrastructure networks for fault diagnosis, resource manage...
Arun Chhetri, Huy Anh Nguyen, Gabriel Scalosub, Ro...