Is combining classifiers with stacking better than selecting the best one?

S Džeroski, B Ženko - Machine learning, 2004 - Springer
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …
被引用次数：1211 相关文章
[PDF] psu.edu

[PDF][PDF] Is Combining Classifiers with Stacking Better than Selecting the Best One?

SD ZEROSKI, B ZENKO - Machine Learning, 2004 - Citeseer
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …
[PDF] ijs.si

[PDF][PDF] Is Combining Classifiers with Stacking Better than Selecting the Best One?

SD ZEROSKI, B ZENKO - Machine Learning, 2004 - kt.ijs.si
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …
[PDF] ijs.si

[PDF][PDF] Is Combining Classifiers with Stacking Better than Selecting the Best One?

SD ZEROSKI, B ZENKO - Machine Learning, 2004 - www-ai.ijs.si
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …

[引用][C] Is Combining Classifiers with Stacking Better than Selecting the Best One?

S Džeroski, B Ženko - Machine Learning, 2004 - cir.nii.ac.jp
Is Combining Classifiers with Stacking Better than Selecting the Best One? | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
[PDF] researchgate.net

[PDF][PDF] Is Combining Classifiers Better than Selecting the Best One?

S Dzeroski, B Zenko - researchgate.net
We empirically evaluate several state-of-theart methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …
[PDF] ugr.es

[PDF][PDF] Is Combining Classifiers with Stacking Better than Selecting the Best One?

SD ZEROSKI, B ZENKO - Machine Learning, 2004 - sci2s.ugr.es
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …

Is Combining Classifiers with Stacking Better than Selecting the Best One?

S Dzeroski, B Zenko - Machine Learning, 2004 - elibrary.ru
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …

Is Combining Classifiers with Stacking Better than Selecting the Best One?

S Dzeroski, B Enko - Machine Learning, 2004 - search.proquest.com
We empirically evaluate several state-of-the-art methods for constructing ensembles of
heterogeneous classifiers with stacking and show that they perform (at best) comparably to …

[引用][C] Is Combining Classifiers with Stacking Better than Selecting the Best One?

S Džeroski, B Ženko - Machine Learning, 2004 - Springer