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在“Elsevier电子期刊”中，命中：60条，耗时：0.015992 秒

在所有数据库中总计命中：1,168条

1.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

2.Expert system supporting an early prediction of the bronchopulmonary dysplasia

作者：Marcin Ochab ; ^{mj.ochab@labor.rzeszow.pl" class="auth_mail" title="E-mail the corresponding author} ; Wiesław Wajs ^{wwa@agh.edu.pl" class="auth_mail" title="E-mail the corresponding author}

关键词：Machine learning ; Feature selection ; Chronic lung disease ; Prediction ; Bronchopulmonary dysplasia ; Expert system ; Support vector machine ; Logit regression ; Prematurity ; Low-birth-weight infant

刊名：Computers in Biology and Medicine

出版年：2016

3.Classification of speech under stress using harmonic peak to energy ratio

作者：Suman Deb ; ^{suman.2013@iitg.ernet.in" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; S. Dandapat ^{samaren@iitg.ernet.in" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Harmonic peak ; Signal energy ; Speech under stress ; Binary-cascade

刊名：Computers & Electrical Engineering

出版年：2016

4.Multi-View Human Action Recognition Using Wavelet Data Reduction and Multi-Class Classification

作者：Alihossein Aryanfar ^{a.aryanfar85@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Razali Yaakob ; ^{razaliy@upm.edu.my" class="auth_mail" title="E-mail the corresponding author} ; Alfian Abdul Halin ^{alfian@ieee.org" class="auth_mail" title="E-mail the corresponding author} ; Md Nasir Sulaiman ^{nasir@upm.edu.my" class="auth_mail" title="E-mail the corresponding author} ; Khairul Azhar Kasmiran ^{k_azhar@upm.edu.my" class="auth_mail" title="E-mail the corresponding author} ; Leila Mohammadpour ^{le.vesal@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Multi-view ; human action recognition ; wavelet ; hierarchical classifier ; SVM ; Naï ; ve Bayes

刊名：Procedia Computer Science

出版年：2015

5.Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

作者：Mahyat Shafapour Tehrany ; Biswajeet Pradhan ; ^{biswajeet24@gmail.com" class="auth_mail} ; ^{biswajeet@lycos.com" class="auth_mail} ; Mustafa Neamah Jebur

关键词：Flood susceptibility ; Weights-of-evidence (WoE) ; Support vector machine (SVM) ; GIS ; Remote sensing ; Malaysia

刊名：Journal of Hydrology

出版年：6 May, 2014

6.A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

作者：Zhibin He ; Xiaohu Wen ; Hu Liu ; Jun Du

关键词：River flow forecasting ; Artificial neural network ; Adaptive neuro fuzzy inference system ; Support vector machine

刊名：Journal of Hydrology

出版年：13 February, 2014

7.Monthly streamflow prediction using modified EMD-based support vector machine

作者：Shengzhi Huang ^{huangshengzhi7788@126.com" class="auth_mail} ; Jianxia Chang ; ^{chxiang@xaut.edu.cn" class="auth_mail} ; Qiang Huang ; Yutong Chen

关键词：Empirical mode decomposition ; Support vector machine ; Monthly streamflow ; The Wei River Basin ; Grid research method

刊名：Journal of Hydrology

出版年：16 April, 2014

8.Evaluating influences of seasonal variations and anthropogenic activities on alluvial groundwater hydrochemistry using ensemble learning approaches

作者：Kunwar P. Singh^a ; ^b ; ^{kpsingh_52@yahoo.com" class="auth_mail} ; ^{kunwarpsingh@gmail.com" class="auth_mail} ; Shikha Gupta^a ; ^b ; Dinesh Mohan^c

关键词：Ensemble learning ; Decision tree forest ; Decision treeboost ; Groundwater hydrochemistry ; Seasonal variations ; Anthropogenic activity

刊名：Journal of Hydrology

出版年：16 April, 2014

9.SVR-based prediction of evaporation combined with chaotic approach

作者：脰zlem Baydaro臒lu ; Kas谋m Ko莽ak

关键词：Prediction ; Evaporation ; Water losses ; Support Vector Regression ; Chaos

刊名：Journal of Hydrology

出版年：16 January, 2014

10.Fractional snow cover mapping from MODIS data using wavelet-artificial intelligence hybrid models

作者：Vahid Moosavi^a ; ^{moosavi_v66@yahoo.com" class="auth_mail} ; Hossein Malekinezhad^a ; Bagher Shirmohammadi^b

关键词：Snow cover mapping ; Sub-pixel classification ; Wavelet transformation ; Artificial intelligence ; ETM+ ; MODIS

刊名：Journal of Hydrology

出版年：16 April, 2014

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