486 search results - page 53 / 98 » Boosting and Hard-Core Sets |
126
Voted
IEEECIT
2007
IEEE
15 years 6 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
103
Voted
IDEAL
2000
Springer
15 years 4 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
107
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KDID
2003
15 years 1 months ago
2003
We introduce generalized version space trees, a novel data structure that serves as a condensed representation in inductive databases for graph mining. Generalized version space tr...
124
Voted
CIKM
2006
Springer
15 years 4 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
159
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ECAI
2008
Springer
15 years 2 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...