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检索条件"主题词=Supervised machine learning algorithms"
26 条 记 录,以下是21-30 订阅
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Flow graphs as data structures for inducing classifiers
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International Journal of Hybrid Intelligent Systems 2019年 第2期15卷 77-90页
作者: Nicoletti, Maria Do Carmo Rodrigues, Emilio Carlos Centro Universitário C. Limpo Paulista C.L. Paulista SP Brazil Universidade Federal de S. Carlos S. Carlos SP Brazil Instituto Federal de São Paulo Bragança Paulista SP Brazil
This paper describes an empirical research work based on the use of a suitable data structure, named Flow Graph (FG), that can be induced from a supervised training data set. A FG can be approached as a weighted and l... 详细信息
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Breast Cancer Prediction and Detection Using Data Mining Classification algorithms: A Comparative Study
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TEHNICKI VJESNIK-TECHNICAL GAZETTE 2019年 第1期26卷 149-155页
作者: Kaya Keles, Mumine Adana Sci & Technol Univ Dept Comp Engn Balcali MahallesiCatalan Caddesi 201-1 TR-01250 Saricam Adana Turkey
Today, cancer has become a common disease that can afflict the life of one of every three people. Breast cancer is also one of the cancer types for which early diagnosis and detection is especially important. The earl... 详细信息
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Identification of Fake Reviews Using Semantic and Behavioral Features  4
Identification of Fake Reviews Using Semantic and Behavioral...
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4th International Conference on Information Management (ICIM)
作者: Wang, Xinyue Zhang, Xianguo Jiang, Chengzhi Liu, Haihang Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China
In recent years, online reviews have been playing an important role in making purchase decisions. This is because, these reviews can provide customers with large amounts of useful information about the goods or servic... 详细信息
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Quality-Efficiency Trade-offs in machine learning for Text Processing  5
Quality-Efficiency Trade-offs in Machine Learning for Text P...
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IEEE International Conference on Big Data (IEEE Big Data)
作者: Baeza-Yates, Ricardo Liaghat, Zeinab Univ Pompeu Fabra DTIC Web Sci & Social Comp Grp Barcelona Catalonia Spain
As the amount of available digital documents keeps growing rapidly, extracting useful information from them has become a major challenge. Data mining, natural language processing, and machine learning are powerful tec... 详细信息
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Quality-Efficiency Trade-offs in machine learning for Text Processing
Quality-Efficiency Trade-offs in Machine Learning for Text P...
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IEEE International Conference on Big Data
作者: Ricardo Baeza-Yates Zeinab Liaghat Web Science and Social Computing Group DTIC Universitat Pompeu Fabra Barcelona Catalonia Spain
As the amount of available digital documents keeps growing rapidly, extracting useful information from them has become a major challenge. Data mining, natural language processing, and machine learning are powerful tec... 详细信息
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An associative memory approach to medical decision support systems
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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2012年 第3期106卷 287-307页
作者: Aldape-Perez, Mario Yanez-Marquez, Cornelio Camacho-Nieto, Oscar Argueelles-Cruz, Amadeo J. Ctr Res Comp GA Madero Mexico City 07738 DF Mexico Super Sch Comp GA Madero Mexico City 07738 DF Mexico
Classification is one of the key issues in medical diagnosis. In this paper, a novel approach to perform pattern classification tasks is presented. This model is called Associative Memory based Classifier (AMBC). Thro... 详细信息
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