1809 search results - page 9 / 362 » Topic Modeling Ensembles |
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
ICTAI
2007
IEEE
14 years 3 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
ECIR
2009
Springer
14 years 6 months ago
2009
Springer
We explore the utility of different types of topic models for retrieval purposes. Based on prior work, we describe several ways that topic models can be integrated into the retrie...
HAIS
2010
Springer
14 years 1 months ago
2010
Springer
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...