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Machine Learning Paradigms最新文献

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Advanced Parametric Methods for Short-Term Traffic Forecasting in the Era of Big Data 大数据时代短期交通预测的先进参数化方法
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_9
G. Gravvanis, A. Salamanis, C. Filelis-Papadopoulos
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引用次数: 2
Finding a Healthy Equilibrium of Geo-demographic Segments for a Telecom Business: Who Are Malicious Hot-Spotters? 为电信业务寻找地理人口细分的健康平衡:谁是恶意热点?
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_8
Julia Sidorova, Oliver Rosander, Lars Sköld, Håkan Grahn, L. Lundberg
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引用次数: 4
Classification Methods in Image Analysis with a Special Focus on Medical Analytics 图像分析中的分类方法，特别关注医学分析
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_3
L. Amelio, Alessia Amelio
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引用次数: 11
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics 利用认知计算和框架语义的医疗报告推荐系统
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_2
D. Dessí, D. Recupero, G. Fenu, S. Consoli
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引用次数: 20
Machine Learning Methods for the Protein Fold Recognition Problem 蛋白质折叠识别问题的机器学习方法
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_5
K. Stapor, I. Roterman-Konieczna, Piotr Fabian
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引用次数: 3
Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field 心脏病医学数据挖掘及序列挖掘在医学领域的未来
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_4
Carine Bou Rjeily, Georges Badr, A. Hassani, Emmanuel Andres
{"title":"Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field","authors":"Carine Bou Rjeily, Georges Badr, A. Hassani, Emmanuel Andres","doi":"10.1007/978-3-319-94030-4_4","DOIUrl":"https://doi.org/10.1007/978-3-319-94030-4_4","url":null,"abstract":"","PeriodicalId":403618,"journal":{"name":"Machine Learning Paradigms","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125184770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 42
Combining Genetic Algorithms and Neural Networks for File Forgery Detection 结合遗传算法和神经网络的文件伪造检测
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_12
Konstantinos Karampidis, Ioannis Deligiannis, G. Papadourakis
{"title":"Combining Genetic Algorithms and Neural Networks for File Forgery Detection","authors":"Konstantinos Karampidis, Ioannis Deligiannis, G. Papadourakis","doi":"10.1007/978-3-319-94030-4_12","DOIUrl":"https://doi.org/10.1007/978-3-319-94030-4_12","url":null,"abstract":"","PeriodicalId":403618,"journal":{"name":"Machine Learning Paradigms","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131441786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning Analytics 深度学习分析
Machine Learning Paradigms Pub Date : 2018-07-04 DOI: 10.1007/978-3-319-94030-4_13
N. Passalis, A. Tefas
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引用次数: 0
Machine Learning Paradigms: Theory and Application 机器学习范式:理论与应用
Machine Learning Paradigms Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-02357-7
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引用次数: 13
The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students 远程教育中学生辍学原因的变异性及对易辍学学生的预测
Machine Learning Paradigms Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-13743-4_6
C. Pierrakeas, Giannis Koutsonikos, A. Lipitakis, S. Kotsiantis, M. Xenos, G. Gravvanis
{"title":"The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropout-Prone Students","authors":"C. Pierrakeas, Giannis Koutsonikos, A. Lipitakis, S. Kotsiantis, M. Xenos, G. Gravvanis","doi":"10.1007/978-3-030-13743-4_6","DOIUrl":"https://doi.org/10.1007/978-3-030-13743-4_6","url":null,"abstract":"","PeriodicalId":403618,"journal":{"name":"Machine Learning Paradigms","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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