192 search results - page 18 / 39 » Boosting in Probabilistic Neural Networks |
IWANN
2009
Springer
14 years 3 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...
CORR
2008
Springer
13 years 8 months 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...
ISNN
2005
Springer
14 years 2 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...
ICONIP
1998
13 years 10 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...
ICMLA
2009
13 years 6 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...