复杂
发表于 2025-3-21 18:05:43
书目名称Ensembles in Machine Learning Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0311373<br><br> <br><br>书目名称Ensembles in Machine Learning Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0311373<br><br> <br><br>
Original
发表于 2025-3-21 23:23:25
Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification,les. Therefore we propose voting with MBDS ensembles (VMBDSs).We show that the generalization performance of the VMBDSs ensembles improves with the number of MBDS classifiers. However this number can become large and thus the VMBDSs ensembles can have a computational-complexity problem as well. Fort
Corral
发表于 2025-3-22 03:25:52
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从容
发表于 2025-3-22 04:42:27
An Improved Mixture of Experts Model: Divide and Conquer Using Random Prototypes,testing strategies of the standard HME model are also modified, based on the same insight applied to standard ME. In both cases, the proposed approach does not require to train the gating networks, as they are implemented with simple distance-based rules. In so doing the overall time required for tr
legislate
发表于 2025-3-22 12:04:08
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Palter
发表于 2025-3-22 14:25:11
https://doi.org/10.1007/978-3-030-76107-3les. Therefore we propose voting with MBDS ensembles (VMBDSs).We show that the generalization performance of the VMBDSs ensembles improves with the number of MBDS classifiers. However this number can become large and thus the VMBDSs ensembles can have a computational-complexity problem as well. Fort
Palter
发表于 2025-3-22 17:35:50
https://doi.org/10.1007/978-3-319-41585-7rformances are obtained with the semi-supervised data-driven network. However, combining it with the expertise-driven network improves performance in many cases and leads to interesting insights about the datasets, networks and metrics.
修剪过的树篱
发表于 2025-3-23 00:13:40
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后天习得
发表于 2025-3-23 02:33:33
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无瑕疵
发表于 2025-3-23 06:36:42
https://doi.org/10.1007/978-3-319-57306-9ection to maximize the amount of validation data considering, in turn, each fold as a validation fold to select the trees from. The aim is to increase performance by reducing the variance of the tree ensemble selection process. We demonstrate the effectiveness of our approach on several UCI and real-world data sets.