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在“Elsevier电子期刊”中，命中：999条，耗时：0.0220193 秒

在所有数据库中总计命中：6,095条

1.MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation

作者：A.W.C. Faria^a ; F.G.F. Coelho^a ; A.M. Silva^b ; H.P. Rocha^a ; G.M. Almeida^c ; A.P. Lemos^a ; A.P. Braga^a ;

关键词：Multiple instance learning ; KDE ; Instance selection ; Instance ranking

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

2.An efficient instance selection algorithm to reconstruct training set for support vector machine

作者：Chuan Liu ; ^a ; ^{liuchuan@uestc.edu.cn} ; Wenyong Wang^a ; Meng Wang^a ; Fengmao Lv^b ; Martin Konan^a

关键词：Support vector machine ; Instance selection ; Machine learning

刊名：Knowledge-Based Systems

出版年：2017

3.A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules

作者：Peng Cao^a ; ^b ; ^{caopeng@cse.neu.edu.cn}Author Vitae ; Xiaoli Liu^a ; ^bAuthor Vitae ; Jinzhu Yang^aAuthor Vitae ; Dazhe Zhao^a ; ^bAuthor Vitae ; Wei Li^bAuthor Vitae ; Min Huang^c ; ^dAuthor Vitae ; Osmar Zaiane^eAuthor Vitae

关键词：Lung nodule detection ; False positive reduction ; Classification ; Imbalanced data learning ; Multi-kernel learning ; Feature selection

刊名：Pattern Recognition

出版年：2017

4.Linear solution schemes for Mean-SemiVariance Project portfolio selection problems: An application in the oil and gas industry

作者：Jorge A. Sefair^a ; ^{jorge.sefair@asu.edu} ; Carlos Y. Mé ; ndez^b ; ^{cy-mendez@uniandes.edu.co} ; Onur Babat^c ; ^{onur.babat@lehigh.edu} ; André ; s L. Medaglia^b ; ^{amedagli@uniandes.edu.co} ; Luis F. Zuluaga^c ; ^{luis.zuluaga@lehigh.edu}

关键词：Semivariance ; Project selection ; Project portfolio optimization ; Benders decomposition ; Mean-SemiVariance ; Risk ; Petroleum industry

刊名：Omega

出版年：2017

5.The relation between individual characteristics and compensation contract selection

作者：Dennis D. Fehrenbacher^a ; ^{dennis.fehrenbacher@monash.edu} ; Steven E. Kaplan^b ; ^{steve.kaplan@asu.edu} ; Burkhard Pedell^c ; ^{burkhard.pedell@bwi.uni-stuttgart.de}

关键词：J33 ; J41 ; D86 ; J4 ; M52 ; M51

刊名：Management Accounting Research

出版年：2017

6.The Advantages and Limitations of Using Meta-analysis in Human Resource Management Research

作者：Dianna L. Stone^a ; ^b ; ^{diannastone2015@gmail.com} ; Patrick J. Rosopa^c

关键词：Meta-analysis ; Advantages ; Limitations ; Selection of studies ; Validity ; Small sample sizes ; Inappropriate inferences

刊名：Human Resource Management Review

出版年：2017

7.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

8.Improving selection of synsets from WordNet for domain-specific word sense disambiguation

作者：Ivan Lopez-Arevalo^a ; ^{ilopez@tamps.cinvestav.mx" class="auth_mail" title="E-mail the corresponding author} ; Victor J. Sosa-Sosa^a ; Franco Rojas-Lopez^a ; Edgar Tello-Leal^b

关键词：Domain-specific word sense disambiguation ; WordNet ; Synset ; Context

刊名：Computer Speech & Language

出版年：2017

9.Adaptive edited natural neighbor algorithm

作者：Lijun YangAuthor Vitae ; Qingsheng Zhu ; ^{qszhu@cqu.edu.cn}Author Vitae ; Jinlong HuangAuthor Vitae ; Dongdong ChengAuthor Vitae

关键词：Instance reduction ; Natural neighbor ; K-nearest neighbor

刊名：Neurocomputing

出版年：2017

10.An instance selection method for large datasets based on Markov Geometric Diffusion

作者：Duí ; lio A.N.S. Silva^a ; ^{duilioanss@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Leandro C. Souza^b ; ^{leandro.souza@ufersa.edu.br" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Gustavo H.M.B. Motta^a ; ^{gustavo@ci.ufpb.br" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Data mining ; Instance selection ; Markov geometric diffusion ; Large datasets

刊名：Data & Knowledge Engineering

出版年：2016

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