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Titlebook: Applications of Supervised and Unsupervised Ensemble Methods; Oleg Okun,Giorgio Valentini Book 2009 Springer-Verlag Berlin Heidelberg 2009

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樓主: obsess
31#
發(fā)表于 2025-3-26 23:59:15 | 只看該作者
https://doi.org/10.1007/978-981-13-5983-5t systems operating in such an environment should not only be accurate but also as autonomous as possible, being capable of maintaining good performance levels without human intervention. Moreover, the complexity of an ICU setting is such that available data only manages to cover a limited part of t
32#
發(fā)表于 2025-3-27 03:28:12 | 只看該作者
33#
發(fā)表于 2025-3-27 07:09:13 | 只看該作者
34#
發(fā)表于 2025-3-27 11:06:53 | 只看該作者
35#
發(fā)表于 2025-3-27 14:00:09 | 只看該作者
36#
發(fā)表于 2025-3-27 20:51:10 | 只看該作者
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach,are also taken into account. A Behaviour Knowledge Space approach for fusing the different results coming from the analysis of the different parts of the e-mails enhances the performance of the proposed system, as described by the experiments we have carried out.
37#
發(fā)表于 2025-3-28 00:27:04 | 只看該作者
Weighted Decoding ECOC for Facial Action Unit Classification,al ECOC decoding. Furthermore, base classifiers are tuned using the ensemble Out-of-Bootstrap estimate, for which purpose, ECOC decoding is modified. The error rates obtained for six upper face . around the eyes are believed to be among the best for this database.
38#
發(fā)表于 2025-3-28 04:07:39 | 只看該作者
Partitioner Trees for Classification: A New Ensemble Method,s have a similar classification accuracy as AdaBoost , and are superior to those of other meta classifier based ensemble methods. In addition, partitioner trees outperform most other ensemble methods in regard to training time and allow for adaptively tuning parameters.
39#
發(fā)表于 2025-3-28 07:59:10 | 只看該作者
S. Geronimi,V. Abadie,N. Beckerity systems in adversarial environments. To this aim we develop analytical models of adversarial classification problems (also exploiting a theoretical framework recently proposed by other authors), and apply them to analyse two strategies currently used to implement MCSs in several applications. We
40#
發(fā)表于 2025-3-28 11:47:15 | 只看該作者
Wolfgang Bernhart,Marc Winterhoffare also taken into account. A Behaviour Knowledge Space approach for fusing the different results coming from the analysis of the different parts of the e-mails enhances the performance of the proposed system, as described by the experiments we have carried out.
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