192 search results - page 13 / 39 » Boosting in Probabilistic Neural Networks |
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
NIPS
1994
13 years 10 months ago
1994
Radial Basis Function (RBF) Networks, also known as networks of locally{tuned processing units (see 6]) are well known for their ease of use. Most algorithms used to train these t...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
ICDAR
2009
IEEE
14 years 3 months ago
2009
IEEE
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
BIBM
2008
IEEE
14 years 3 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...