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IJON
2000
13 years 7 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
IEEEHPCS
2010
13 years 6 months ago
2010
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
WASA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Due to the large-scale ad hoc deployments and wireless interference, data aggregation is a fundamental but time consuming task in wireless sensor networks. This paper foc...
IJON
1998
13 years 7 months ago
1998
SOM and LVQ algorithms for symbol strings have been introduced and applied to isolatedword recognition, for the construction of an optimal pronunciation dictionary for a given spe...
NA
2010
13 years 6 months ago
2010
A method for linearly constrained optimization which modifies and generalizes recent box-constraint optimization algorithms is introduced. The new algorithm is based on a relaxed...