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NIPS
1994
15 years 7 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
SOCO
2002
Springer
15 years 5 months ago
fXOR fuzzy logic networks
The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalized multivalued exclusive-OR (XOR) operation. The proposed neural archit...
Witold Pedrycz, Giancarlo Succi
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 11 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
NN
2006
Springer
15 years 5 months ago
Rapid decision threshold modulation by reward rate in a neural network
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
Patrick Simen, Jonathan D. Cohen, Philip Holmes
CEC
2007
IEEE
15 years 7 months ago
Multi-population approach to approximate the development of neocortical networks
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...