179 search results - page 8 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
ANNPR
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
UAI
1996
13 years 10 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
NIPS
1994
13 years 10 months ago
1994
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
NIPS
1992
13 years 10 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract- The effect of adding noise to an expressioninduction model of language evolution was investigated. The model consisted of a number of artificial people who were able to i...