154 search results - page 13 / 31 » Boosted Bayesian network classifiers |
169
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MCS
2000
Springer
15 years 8 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
139
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ARTMED
2004
15 years 4 months ago
2004
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
149
Voted
ECSQARU
2009
Springer
15 years 2 months ago
2009
Springer
For a presented case, a Bayesian network classifier in essence computes a posterior probability distribution over its class variable. Based upon this distribution, the classifier&#...
139
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ICANN
2007
Springer
15 years 11 months ago
2007
Springer
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
139
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JIPS
2007
15 years 4 months ago
2007
In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naïve Bayesian classification algorithms. The architecture of our s...