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Springer电子图书(7)	ProQuest学位论文(19)	ACS电子期刊(14)
SpringerLink电子期刊(284)	Elsevier电子期刊(212)

在“Elsevier电子期刊”中，命中：212条，耗时：0.0489467 秒

在所有数据库中总计命中：536条

1.Ensemble feature selection: Homogeneous and heterogeneous approaches

作者：B. Seijo-Pardo ; ^{borja.seijo@udc.es} ; I. Porto-Dí ; az ^{iporto@udc.es} ; V. Boló ; n-Canedo ^{vbolon@udc.es} ; A. Alonso-Betanzos ^{ciamparo@udc.es}

关键词：Ensemble learning ; Feature selection ; Ranking aggregation ; Classification ; SVM-Rank ; Data complexity measures

刊名：Knowledge-Based Systems

出版年：2017

2.Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

作者：Barbara Pes ; ^{pes@unica.it" class="auth_mail" title="E-mail the corresponding author} ; Nicoletta Dessì ; ^{dessi@unica.it" class="auth_mail" title="E-mail the corresponding author} ; Marta Angioni ^{martaangioni@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Ensemble paradigm ; Feature selection ; Data perturbation ; Selection stability ; High-dimensional genomic data

刊名：Information Fusion

出版年：2017

3.Ensemble of feature selection methods: A hesitant fuzzy sets approach

作者：Mohammad Kazem EbrahimpourAuthor Vitae ; Mahdi Eftekhari ; ^{m.eftekhari@uk.ac.ir}Author Vitae

关键词：Hesitant fuzzy sets ; Feature selection ; High dimensional datasets ; Big data ; Imbalanced datasets ; Microarray datasets

刊名：Applied Soft Computing

出版年：2017

4.Feature selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification

作者：Chengming Qi^a ; ^b ; ^{chming.qi@gmail.com}Author Vitae ; Zhangbing Zhou^a ; ^c ; ^{zhangbing.zhou@gmail.com}Author Vitae ; Yunchuan Sun^dAuthor Vitae ; Houbing Song^e ; ^{Houbing.Song@mail.wvu.edu}Author Vitae ; Lishuan Hu^a ; ^b ; ^{hulishuan@163.com}Author Vitae ; Qun Wang^a ; ^{qunw@cugb.edu.cn}Author Vitae

关键词：Ensemble learning ; Feature selection ; Hyperspectral remote sensing image ; Multiple kernel boosting

刊名：Neurocomputing

出版年：2017

5.A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection

作者：Zexian Wei ; Yanxue Wang ; ^{yan.xue.wang@gmail.com} ; Shuilong He ; Jiading Bao

关键词：Adaptive feature selection ; Affinity propagation ; Rolling element bearing ; Intelligent fault diagnosis

刊名：Knowledge-Based Systems

出版年：2017

6.An EnKF-based scheme to optimize hyper-parameters and features for SVM classifier

作者：Yingsheng Ji^a ; ^bAuthor Vitae ; Yushu Chen^bAuthor Vitae ; Haohuan Fu^aAuthor Vitae ; Guangwen Yang^a ; ^b ; ^{ygw@mail.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：EnKF ; SVM ; Hyper-parameter optimization ; Feature weighting ; Feature selection

刊名：Pattern Recognition

出版年：2017

7.Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming

作者：Varun Kumar Ojha^a ; ^{varun.kumar.ojha@vsb.cz} ; Ajith Abraham^b ; ^{ajith.abraham@ieee.org} ; Vá ; clav Sná ; &scaron ; el^a ; ^{vaclav.snasel@vsb.cz}

关键词：Pareto-based multiobjectives ; Flexible neural tree ; Ensemble ; Approximation ; Feature selection

刊名：Applied Soft Computing

出版年：2017

8.Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem

作者：Saeid Fallahpour^a ; Eisa Norouzian Lakvan^b ; ^{Norozian@yahoo.com} ; Mohammad Hendijani Zadeh^c

关键词：Bankruptcy prediction problem ; Sequential floating forward ; Artificial bee colony ; Support vector machine ; Genetic algorithm

刊名：Journal of Retailing and Consumer Services

出版年：2017

9.A robot calligraphy system: From simple to complex writing by human gestures

作者：Fei Chao^a ; ^{fchao@xmu.edu.cn} ; Yuxuan Huang^a ; Xin Zhang^a ; Changjing Shang^b ; Longzhi Yang^c ; Changle Zhou^a ; Huosheng Hu^a ; ^d ; Chih-Min Lin^a ; ^e

关键词：00-01 ; 99-00

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

10.Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography

作者：Jae Young Choi^a ; ¹ ; ^{jygchoi@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; ^{jyoung.choi@jwu.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Dae Hoe Kim^a ; ^{dhkim10@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Konstantinos N. Plataniotis^b ; ^{kostas@ece.utoronto.ca" class="auth_mail" title="E-mail the corresponding author} ; Yong Man Ro^a ; ^{ymro@ee.kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author}

关键词：Ensemble learning ; Ensemble selection ; Classification ; Mammographic masses ; Multiple feature representations ; Computer-aided Detection (CADe) ; Computer-aided Diagnosis (CADx)

刊名：Expert Systems with Applications

出版年：2016

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