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在“Elsevier电子期刊”中，命中：423条，耗时：0.0799701 秒

在所有数据库中总计命中：946条

1.A holistic approach to the environmental evaluation of food waste prevention

作者：Ramy Salemdeeb^a ; ^{rsalem@zerowastemena.org} ; David Font Vivanco^b ; Abir Al-Tabbaa^a ; Erasmus K.H.J. zu Ermgassen^c

关键词：GHG ; greenhouse gas ; LCA ; life cycle assessment ; AD ; anaerobic digestion ; N/A ; not applicable ; MRIO ; multi-regional input output ; SIC ; standard industrial classification ; MBS ; marginal budget shares ; AIDS ; Almost Ideal Demand System ; RE ; rebound effect ; FEI ; freed effective income ; WRAP ; The Waste and Resources Action Programme

刊名：Waste Management

出版年：2017

2.NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

作者：Mikel Galar ; ^a ; ^e ; ^{mikel.galar@unavarra.es} ; Alberto Ferná ; ndez^b ; ^{alberto.fernandez@ujaen.es} ; Edurne Barrenechea^a ; ^e ; ^{edurne.barrenechea@unavarra.es} ; Humberto Bustince^a ; ^e ; ^{bustince@unavarra.es} ; Francisco Herrera^c ; ^d ; ^{herrera@decsai.ugr.es}

关键词：Multi-class classification ; One-vs-One ; Decomposition strategies ; Classifier selection ; Ensemble pruning

刊名：Information Fusion

出版年：2017

3.Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble

作者：Jerzy Kowalski^a ; ^{jerzy95@am.gdynia.pl} ; Bartosz Krawczyk^b ; ^{bartosz.krawczyk@pwr.edu.pl} ; Michał Woźniak^b ; ^{michal.wozniak@pwr.edu.pl}

关键词：Marine engine ; Fault diagnosis ; Fault detection ; Diesel engine ; Machine learning ; Ensemble learning ; Extreme learning machines ; Multi-class decomposition

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

4.A multi-attribute decision-making model for the robust classification of multiple inputs and outputs datasets with uncertainty

作者：Kuang Yu Huang^a ; ^{kyhuang@teamail.ltu.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; I-Hui Li^b ; ^{sanity@teamail.ltu.edu.tw" class="auth_mail" title="E-mail the corresponding author}

关键词：Multi-criteria decision making ; Multiple inputs and outputs datasets ; Variable precision rough set ; Fuzzy set theory ; FVM-index method

刊名：Applied Soft Computing

出版年：2016

5.Polar support vector machine: Single and multiple outputs

作者：Ali Nedaie ^{alinedaie@kntu.ac.ir" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Amir Abbas Najafi ; ^{aanajafi@kntu.ac.ir" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Multi-output classification ; Support vector machine ; Polar coordinate system ; Nonlinear classification ; Supervised learning

刊名：Neurocomputing

出版年：2016

6.A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data

作者：Kun-Hong Liu^a ; ^b ; ¹ ; ^{lkhqz@xmu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; ^{lkhqz@163.com" class="auth_mail" title="E-mail the corresponding author} ; Zhi-Hao Zeng^a ; Vincent To Yee Ng^b ; ¹

关键词：Error Correcting Output Codes (ECOC) ; Ensemble learning ; Cancer classification ; Feature selection ; Multi-class microarray data

刊名：Information Sciences

出版年：2016

7.Dynamic label propagation for semi-supervised multi-class multi-label classification

作者：Bo Wang^a ; ^{bowang87@stanford.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; John Tsotsos^b ; ^{tsotsos@cse.yorku.ca" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Dynamic label propagation ; Multi-modality ; Semi-supervised

刊名：Pattern Recognition

出版年：2016

8.An enhanced M-ary SVM algorithm for multi-category classification and its application

作者：Yi YanAuthor Vitae ; WeiKai ZhengAuthor Vitae ; Jian BaoAuthor Vitae ; Ran LiuAuthor Vitae

关键词：M-ary SVM ; Multi-category classification ; Error correcting code ; Minimum code distance

刊名：Neurocomputing

出版年：2016

9.An approach for multi-label classification by directed acyclic graph with label correlation maximization

作者：Jaedong Lee^a ; ^{ultrajaepo@skku.edu" class="auth_mail" title="E-mail the corresponding author} ; Heera Kim^b ; ^{hrahoy@skku.edu" class="auth_mail" title="E-mail the corresponding author} ; Noo-ri Kim^a ; ^{pd99j@skku.edu" class="auth_mail" title="E-mail the corresponding author} ; Jee-Hyong Lee^a ; ^{john@skku.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Multi-label learning ; Directed acyclic graph ; Bayesian network ; Conditional entropy

刊名：Information Sciences

出版年：2016

10.A robust multi-class AdaBoost algorithm for mislabeled noisy data

作者：Bo Sun ; ^{sunbo87@126.com" class="auth_mail" title="E-mail the corresponding author} ; Songcan Chen ^{s.chen@nuaa.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Jiandong Wang ^{aics@nuaa.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Haiyan Chen ^{chenhaiyan@nuaa.edu.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Ensemble learning ; AdaBoost ; Robustness ; Multi-class classification ; Mislabeled noise

刊名：Knowledge-Based Systems

出版年：2016

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