641 search results - page 11 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
117
Voted
IJIT
2004
15 years 1 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
99
Voted
ISBI
2009
IEEE
15 years 7 months ago
2009
IEEE
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
127
Voted
IJCAI
2007
15 years 2 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
110
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NECO
2006
15 years 14 days ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
578
Voted
Tutorial
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...