標(biāo)題: Titlebook: Applications of Supervised and Unsupervised Ensemble Methods; Oleg Okun,Giorgio Valentini Book 2009 Springer-Verlag Berlin Heidelberg 2009 [打印本頁] 作者: obsess 時(shí)間: 2025-3-21 18:18
書目名稱Applications of Supervised and Unsupervised Ensemble Methods影響因子(影響力)
書目名稱Applications of Supervised and Unsupervised Ensemble Methods影響因子(影響力)學(xué)科排名
書目名稱Applications of Supervised and Unsupervised Ensemble Methods網(wǎng)絡(luò)公開度
書目名稱Applications of Supervised and Unsupervised Ensemble Methods網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applications of Supervised and Unsupervised Ensemble Methods被引頻次
書目名稱Applications of Supervised and Unsupervised Ensemble Methods被引頻次學(xué)科排名
書目名稱Applications of Supervised and Unsupervised Ensemble Methods年度引用
書目名稱Applications of Supervised and Unsupervised Ensemble Methods年度引用學(xué)科排名
書目名稱Applications of Supervised and Unsupervised Ensemble Methods讀者反饋
書目名稱Applications of Supervised and Unsupervised Ensemble Methods讀者反饋學(xué)科排名
作者: Initial 時(shí)間: 2025-3-21 22:12
Evade Hard Multiple Classifier Systems,uracy. MCSs are currently used in several kinds of applications, among which security applications like biometric identity recognition, intrusion detection in computer networks and spam filtering. However security systems operate in . against intelligent adversaries who try to evade them, and are th作者: fibula 時(shí)間: 2025-3-22 03:38
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach,ll companies and large public or private institutions feel that spam has weakened the reliability and effectiveness of email as an efficient tool for communicating. To establish simple, fast and effective countermeasures against spam attacks is a necessary strategy of a modern mailing management sys作者: Ovulation 時(shí)間: 2025-3-22 07:54 作者: 亂砍 時(shí)間: 2025-3-22 11:11 作者: Restenosis 時(shí)間: 2025-3-22 13:20
Partitioner Trees for Classification: A New Ensemble Method, tries to exploit information on each classifier’s area of expertise (Grading, Delegating, Arbitrating). This paper presents a new ensemble method called partitioner trees that combines both approaches. Information on misclassifications is used to train meta classifiers called partitioners and to sp作者: CHOKE 時(shí)間: 2025-3-22 18:14
Disturbing Neighbors Diversity for Decision Forests,r diversity (how different these base classifiers outputs are from each other). An approach for increasing the diversity of the base classifiers is presented in this paper. The method builds some new features to be added to the training dataset of the base classifier. Those new features are computed作者: 放肆的我 時(shí)間: 2025-3-22 23:07
Improving Supervised Learning with Multiple Clusterings,amples are available. When one has only few samples, the obtained model tends to offer poor results. Even when labeled samples are difficult to get, a lot of unlabeled samples are generally available on which unsupervised learning can be done. In this chapter, a way to combine supervised and unsuper作者: 審問,審訊 時(shí)間: 2025-3-23 04:53
The Neighbors Voting Algorithm and Its Applications,dimensional data. In the computer vision and image processing fields, this algorithm has been applied to solve various problems like stereo-matching, 3D reconstruction, and image inpainting . In this paper we propose a new technique, inspired to the TVF, that allows to estimate the dimensionality an作者: 鑲嵌細(xì)工 時(shí)間: 2025-3-23 08:02 作者: Intractable 時(shí)間: 2025-3-23 11:29
Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclasse ensembles of binary classifiers were developed with the objective of providing interpretable submodels s for use in safety-related application domains. The ensembles assume highly imbalanced misclassification costs between the two classes. The extension to multi-class problems is not straightforwa作者: VERT 時(shí)間: 2025-3-23 15:31 作者: Statins 時(shí)間: 2025-3-23 19:20
Integrating Liknon Feature Selection and Committee Training,Liknon feature selection method is integrated into the training of a committee of classifiers via external K-fold crossvalidation with an inner loop. In problems, characterized by nonlinear class separation, the Liknon-selected feature profiles, optimal for linear class separation, also identify the作者: Orchiectomy 時(shí)間: 2025-3-24 00:33 作者: Externalize 時(shí)間: 2025-3-24 04:12
Oleg Okun,Giorgio ValentiniPresents recent developments of Supervised and Unsupervised Ensemble Methods and Their Applications.Extended contributions from SUEMA 2008 workshop and more作者: 圣人 時(shí)間: 2025-3-24 07:10 作者: 暫時(shí)中止 時(shí)間: 2025-3-24 11:28
Applications of Supervised and Unsupervised Ensemble Methods978-3-642-03999-7Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 使饑餓 時(shí)間: 2025-3-24 15:26 作者: RENAL 時(shí)間: 2025-3-24 19:48
S. Geronimi,V. Abadie,N. Beckeruracy. MCSs are currently used in several kinds of applications, among which security applications like biometric identity recognition, intrusion detection in computer networks and spam filtering. However security systems operate in . against intelligent adversaries who try to evade them, and are th作者: STIT 時(shí)間: 2025-3-25 01:10
Wolfgang Bernhart,Marc Winterhoffll companies and large public or private institutions feel that spam has weakened the reliability and effectiveness of email as an efficient tool for communicating. To establish simple, fast and effective countermeasures against spam attacks is a necessary strategy of a modern mailing management sys作者: 鉤針織物 時(shí)間: 2025-3-25 03:59 作者: Hyperlipidemia 時(shí)間: 2025-3-25 10:31 作者: 我不怕犧牲 時(shí)間: 2025-3-25 14:26
Energy Consumption and Autonomous Driving tries to exploit information on each classifier’s area of expertise (Grading, Delegating, Arbitrating). This paper presents a new ensemble method called partitioner trees that combines both approaches. Information on misclassifications is used to train meta classifiers called partitioners and to sp作者: 卷發(fā) 時(shí)間: 2025-3-25 18:22 作者: MERIT 時(shí)間: 2025-3-25 20:01 作者: 安慰 時(shí)間: 2025-3-26 02:47
https://doi.org/10.1007/978-981-13-5983-5dimensional data. In the computer vision and image processing fields, this algorithm has been applied to solve various problems like stereo-matching, 3D reconstruction, and image inpainting . In this paper we propose a new technique, inspired to the TVF, that allows to estimate the dimensionality an作者: Dissonance 時(shí)間: 2025-3-26 04:29 作者: Aerophagia 時(shí)間: 2025-3-26 11:45 作者: Prologue 時(shí)間: 2025-3-26 16:02
https://doi.org/10.1007/978-981-13-5983-5g to operational long-range transport and dispersion models, but they are also used for the real-time simulation of pollutant dispersion or the accidental release of radioactive nuclides in the atmosphere. In order to compare models, an approach based on the hierarchical agglomeration of distributio作者: Merited 時(shí)間: 2025-3-26 17:37 作者: Genteel 時(shí)間: 2025-3-26 23:59
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作者: 使糾纏 時(shí)間: 2025-3-27 03:28 作者: 抱負(fù) 時(shí)間: 2025-3-27 07:09 作者: blister 時(shí)間: 2025-3-27 11:06 作者: 裂隙 時(shí)間: 2025-3-27 14:00 作者: TEN 時(shí)間: 2025-3-27 20:51
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.作者: 裝入膠囊 時(shí)間: 2025-3-28 00:27
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.作者: 敏捷 時(shí)間: 2025-3-28 04:07
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.作者: 幸福愉悅感 時(shí)間: 2025-3-28 07:59
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作者: 慌張 時(shí)間: 2025-3-28 11:47
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.作者: 使痛苦 時(shí)間: 2025-3-28 15:26 作者: 蝕刻 時(shí)間: 2025-3-28 18:56 作者: Ventricle 時(shí)間: 2025-3-29 01:23 作者: CAB 時(shí)間: 2025-3-29 06:35 作者: Project 時(shí)間: 2025-3-29 07:54
Book 2009eld on 21-22 July, 2008 in Patras, Greece, in conjunction with the 18th European Conference on Artificial Intelligence (ECAI’2008). This workshop was a successor of the smaller event held in 2007 in conjunction with 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain. The作者: Dysplasia 時(shí)間: 2025-3-29 12:48
https://doi.org/10.1007/978-981-13-5983-5vised learning in order to use both labeled and unlabeled samples is explored. The efficiency of the method is evaluated on various UCI datasets and on the classification of a very high resolution remote sensing image when the number of labeled samples is very low.作者: Minuet 時(shí)間: 2025-3-29 18:01 作者: 主講人 時(shí)間: 2025-3-29 20:41
Energy Consumption and Autonomous Drivingresentative methods of each category. It abstracts their key components and discusses their main advantages and disadvantages. We hope that this work will serve as a good starting point and reference for researchers working on the development of new ensemble pruning methods.作者: 改變 時(shí)間: 2025-3-30 02:52
https://doi.org/10.1007/978-981-13-5983-5 during the partitioning process. The experimental results show that our constrained ensemble technique is capable of producing a partition that is as good as, or better, than those computed by other semi-supervised clustering approaches.作者: 種屬關(guān)系 時(shí)間: 2025-3-30 07:38 作者: Intersect 時(shí)間: 2025-3-30 10:37
An Ensemble Pruning Primer,resentative methods of each category. It abstracts their key components and discusses their main advantages and disadvantages. We hope that this work will serve as a good starting point and reference for researchers working on the development of new ensemble pruning methods.作者: capsule 時(shí)間: 2025-3-30 13:55
Clustering Ensembles with Active Constraints, during the partitioning process. The experimental results show that our constrained ensemble technique is capable of producing a partition that is as good as, or better, than those computed by other semi-supervised clustering approaches.作者: 減震 時(shí)間: 2025-3-30 19:02
Integrating Liknon Feature Selection and Committee Training,In problems, characterized by nonlinear class separation, the Liknon-selected feature profiles, optimal for linear class separation, also identify the relevant feature subspaces. The capabilities of the proposed approach are illustrated in a benchmark of NIPS2003 feature selection challenge.
