144 search results - page 14 / 29 » Training approaches in neural enhancement for multiobjective... |
ICANN
2010
Springer
14 years 9 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
TASLP
2002
14 years 9 months ago
2002
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
EVOW
2007
Springer
15 years 3 months ago
2007
Springer
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
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FLAIRS
2004
14 years 11 months ago
2004
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...