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Wiley电子期刊(3)	SpringerLink电子期刊(633)	Elsevier电子期刊(233)
Springer电子图书(2)	ProQuest学位论文(36)	ACS电子期刊(10)

在“Elsevier电子期刊”中，命中：233条，耗时：0.0179657 秒

在所有数据库中总计命中：917条

1.Data classification with binary response through the Boosting algorithm and logistic regression

作者：Fortunato S. de Menezes ; ^a ; ^b ; ^{fmenezes@dfi.ufla.br" class="auth_mail" title="E-mail the corresponding author} ; ^{fsdmenezes@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Gilberto R. Liska^b ; ^{gilbertoliska@unipampa.edu.br" class="auth_mail" title="E-mail the corresponding author} ; Marcelo A. Cirillo^b ; ^{macufla@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author} ; Má ; rio J.F. Vivanco^b ; ^{ferrua@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author}

关键词：Boosting algorithm ; Data classification ; Logistic regression ; Information criteria ; AIC ; BIC ; Selection of models ; Monte Carlo Simulation

刊名：Expert Systems with Applications

出版年：2017

2.A genetic algorithm approach to optimising random forests applied to class engineered data

作者：Eyad Elyan ; ^{e.elyan@rgu.ac.uk} ; Mohamed Medhat Gaber ^{m.gaber1@rgu.ac.uk}

关键词：Random forests ; Genetic algorithm ; Class decomposition ; Life science

刊名：Information Sciences

出版年：2017

3.An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting

作者：Ahnaf Rashik Hassan ; ^{ahnaf.hassan0@gmail.com}Author Vitae ; Mohammed Imamul Hassan BhuiyanAuthor Vitae

关键词：Sleep Scoring ; EEG ; AdaBoost ; NIG parameters

刊名：Neurocomputing

出版年：2017

4.Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

作者：Xiqun (Michael) Chen ; ^{chenxiqun@zju.edu.cn} ; Majid Zahiri ; Shuaichao Zhang

关键词：On-demand ride service ; Rideplitting ; Ensemble learning ; Boosting ; Decision tree

刊名：Transportation Research Part C: Emerging Technologies

出版年：2017

5.Computer-based automated estimation of breast vascularity and correlation with breast cancer in DCE-MRI images

作者：Spiros A. Kostopoulos^a ; Katerina G. Vassiou^b ; Eleftherios N. Lavdas^c ; Dionisis A. Cavouras^a ; Ioannis K. Kalatzis^a ; Pantelis A. Asvestas^a ; Dimitrios L. Arvanitis^d ; Ioannis V. Fezoulidis^b ; Dimitris T. Glotsos^a ; ^{dimglo@teiath.gr} ; ^{dimglo@gmail.com}

关键词：Medical image processing ; Texture analysis ; Breast cancer ; DCE-MRI

刊名：Magnetic Resonance Imaging

出版年：2017

6.RFBoost: An improved multi-label boosting algorithm and its application to text categorisation

作者：Bassam Al-Salemi ^{bassamalsalmi@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; Shahrul Azman Mohd Noah ; ^{shahrul@ukm.edu.my" class="auth_mail" title="E-mail the corresponding author} ; Mohd Juzaiddin Ab Aziz ^{juzaiddin@ukm.edu.my" class="auth_mail" title="E-mail the corresponding author}

关键词：RFBoost ; Boosting ; AdaBoost.MH ; Text categorisation ; Labeled Latent Dirichlet Allocation ; Multi-label classification

刊名：Knowledge-Based Systems

出版年：2016

7.Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis

作者：Florin Gorunescu^a ; ^{gorunef@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; ^{fgorun@rdslink.ro" class="auth_mail" title="E-mail the corresponding author} ; ^{florin.gorunescu@webmail.umfcv.ro" class="auth_mail" title="E-mail the corresponding author} ; Smaranda Belciug^b ; ^{smaranda.belciug@inf.ucv.ro" class="auth_mail" title="E-mail the corresponding author}

关键词：Backpropagation/stimulus-sampling model ; Colon cancer ; Breast cancer ; Diabetes ; Thyroid ; Fetal heartbeat

刊名：Journal of Biomedical Informatics

出版年：2016

8.Enhancing the noise tolerance of fault diagnosis system using the modified adaptive boosting algorithm

作者：Mojtaba Cheki ; ^{mojtaba.cheki@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; Hooshang Jazayeri-Rad ; Pooria Karimi

关键词：Artificial neural network ; Fault diagnosis ; MadaBoost ; AdaBoost ; Noise

刊名：Journal of Natural Gas Science and Engineering

出版年：2016

9.Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy

作者：Zhanglin Peng^aAuthor Vitae ; Ya Li^aAuthor Vitae ; Zhaoquan Cai^bAuthor Vitae ; Liang Lin^a ; ^{linliang@ieee.org" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Representation Learning ; Compositional boosting ; Dictionary learning ; Image Classification

刊名：Neurocomputing

出版年：2016

10.Robust object representation by boosting-like deep learning architecture

作者：Lei Wang^a ; Baochang Zhang^a ; ^{bczhang@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Jungong Han^b ; Linlin Shen^c ; Cheng-shan Qian^d ; ^{qianchengshan@163.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Boosting ; Deep learning ; Object representation ; Synchronized feature

刊名：Signal Processing: Image Communication

出版年：2016

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