- The subject of our interest is contextual classifier ensemble so we focus on the two issues that concern assessment of single base contextual classifier and...Bulunamadı: shluzovoy
- Bagging is a parallel ensemble meta-algorithm and a combination of Bootstrap and Aggregation which is developed to reduce variance and improve the...Bulunamadı: shluzovoy
- Correct choice of the aggregation method is the most interesting and effective tool in solving problems using ensembles of models.Bulunamadı: shluzovoy
- Ensemble methods are ideal for regression and classification, where they reduce bias and variance to boost the accuracy of models.Bulunamadı: shluzovoy
- This approach is studied in a fundamental way, by rst evaluating minimalistic ensembles of only two surrogate models in detail and then proceeding to ensembles...Bulunamadı: shluzovoy
- This paper presents a corpus-based approach to word sense disambiguation that builds an ensemble of Naive Bayesian classifiers, each of which is based on...Bulunamadı: shluzovoy