192 search results - page 22 / 39 » Boosting in Probabilistic Neural Networks |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
EMNLP
2006
13 years 10 months ago
2006
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper presents QuickStroke: a system for the incremental recognition of handwritten Chinese characters. Only a few strokes of an ideogram need to be entered in order for a ch...
NN
1997
Springer
14 years 27 days ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...