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NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 1 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
IJON
2002
98views more  IJON 2002»
15 years 1 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
IS
2002
15 years 1 months ago
Pushing extrema aggregates to optimize logic queries
In this paper, we explore the possibility of transforming queries with minimum and maximum predicates into equivalent queries that can be computed more efficiently. The main contr...
Filippo Furfaro, Sergio Greco, Sumit Ganguly, Carl...
NN
2002
Springer
15 years 1 months ago
Dopamine-dependent plasticity of corticostriatal synapses
Knowledge of the effect of dopamine on corticostriatal synaptic plasticity has advanced rapidly over the last 5 years. We consider this new knowledge in relation to three factors ...
John N. J. Reynolds, Jeffery R. Wickens
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
14 years 9 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas