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ICANN
1997
Springer
14 years 9 days ago
A Boosting Algorithm for Regression
A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning alg...
Alberto Bertoni, Paola Campadelli, M. Parodi
ANNES
1995
13 years 11 months ago
Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm
Ageneticalgorithmselectedcombinationsofattributesfor amachinelearningsystem.Thealgorithmused90Bach choralemelodiestotrainmodelsandrandomlyselectedsets of10choralesforevaluation.Co...
Mark A. Hall
EUSFLAT
2003
13 years 9 months ago
Stability of backpropagation learning rule
A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
Petr Krupanský, Petr Pivoñka, Jiri D...
NIPS
2001
13 years 9 months ago
Reinforcement Learning with Long Short-Term Memory
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
Bram Bakker
NN
2006
Springer
13 years 8 months ago
A model of surround suppression through cortical feedback
Surround suppression occurs when a visual stimulus outside a neuron's classical receptive field causes a reduction in firing rate. It has become clear that several mechanisms...
Thomas J. Sullivan, Virginia R. de Sa