192 search results - page 18 / 39 » Boosting in Probabilistic Neural Networks |
93
Voted
IWANN
2009
Springer
15 years 7 months ago
2009
Springer
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...
103
Voted
CORR
2008
Springer
15 years 14 days ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
103
Voted
ISNN
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
108
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ICONIP
1998
15 years 1 months ago
1998
A PDM (Pulse Density Modulating) digital neural network system, which consists of 1,000 neurons physically interconnected by one million 7-bit synapses, was developed in our labor...
116
Voted
ICMLA
2009
14 years 10 months ago
2009
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...