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检索条件"任意字段=3rd International Conference on Machine Learning and Data Mining in Pattern Recognition"
3244 条 记 录,以下是301-310 订阅
排序:
Computer-Aided Diagnosis using machine learning Techniques  3
Computer-Aided Diagnosis using Machine Learning Techniques
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3rd international conference on Smart data Intelligence, ICSMDI 2023
作者: Prakash, S.Shiva Harshitha, Kompala Charitha, A.O. Janvitha, C. Indu, K. Svec Dept. of Csse Tirupati India
Computer-aided diagnosis (CAD), a field of medical analysis, is rapidly advancing in a large range and is becoming more complex. Computer-aided recently, there has been a lot of interest in diagnostics for the reason ... 详细信息
来源: 评论
Comparative Study of Classifier for Chronic Kidney Disease prediction using Naive Bayes, KNN and Random Forest  3
Comparative Study of Classifier for Chronic Kidney Disease p...
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3rd international conference on Computing Methodologies and Communication (ICCMC)
作者: Devika, R. Avilala, Sai Vaishnavi Subramaniyaswamy, V SASTRA Deemed Univ Sch Comp Thanjavur Tamil Nadu India
Chronic kidney disease (CKD), is also known as chronic nephritic sickness. It defines constrains which affects your kidneys and reduces your potential to stay healthy. There will be various complication concerns like ... 详细信息
来源: 评论
A Novel Approach of Feature Vector Design for Financial Information Extraction Using Supervised learning  3
A Novel Approach of Feature Vector Design for Financial Info...
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3rd international conference on Soft Computing and machine Intelligence (ISCMI)
作者: Dadhich, Mahesh Lewis, James G. Bangalore India Los Angeles USA
Financial information extraction from big financial reports is a tedious task. This paper speaks about page-wise feature generation and applying learning algorithms for identifying financial information (balance sheet... 详细信息
来源: 评论
Facial Expression recognition Using Extreme learning machine  3
Facial Expression Recognition Using Extreme Learning Machine
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3rd international conference on Informatics and Computational Sciences (ICICoS)
作者: Shafira, Serenada Salma Ulfa, Nadya Wibawa, Helmie Arif Rismiyati Univ Diponegoro Fac Math & Sci Dept Informat Semarang Indonesia
Facial expression recognition is one of the technological capabilities in identifying a face image to follow up on research conducted by psychologists. The recognition of facial expressions is very important to know t... 详细信息
来源: 评论
Tell Me Why - A Systematic Literature Review on Outlier Explanation for Tabular data  3
Tell Me Why - A Systematic Literature Review on Outlier Expl...
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3rd international conference on pattern recognition and machine learning, PRML 2022
作者: Nonnenmacher, Jakob Holte, Nils-Christoph Gomez, Jorge Marx University of Oldenburg Oldenburg Germany
Outlier explanation approaches are used to support analysts in investigating outliers, especially those detected by methods which are not intuitively interpretable such as deep learning or ensemble approaches. There h... 详细信息
来源: 评论
Comparing Feature learning Methods for Human Activity recognition: Performance study in new user scenario  8
Comparing Feature Learning Methods for Human Activity Recogn...
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Joint 8th international conference on Informatics, Electronics and Vision (ICIEV) / 3rd international conference on Imaging, Vision and pattern recognition (icIVPR) / international conference on Activity and Behavior Computing (ABC)
作者: Lago, Paula Inoue, Sozo Kyushu Inst Technol Fac Engn Dept Basic Sci Kitakyushu Fukuoka Japan Kyushu Inst Technol Fac Engn Grad Sch Biol Engn Kitakyushu Fukuoka Japan
Designing robust features for human activity recognition (HAR) that performs well across a wide range of users is a hard task. Therefore, more attention is being given to feature learning techniques, to automatically ... 详细信息
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Two approaches to machine learning classification of time series based on recurrence plots  3
Two approaches to machine learning classification of time se...
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3rd IEEE international conference on data Stream mining and Processing, DSMP 2020
作者: Kirichenko, Lyudmyla Radivilova, Tamara Bulakh, Vitalii Zinchenko, Petro Saif Alghawli, Abed Kharkiv National University of Radio Electronics Department of Applied Mathematics Kharkiv Ukraine Kharkiv National University of Radio Electronics V.V. Popovskyy Dept. of Infocommunication Engineering Kharkiv Ukraine Prince Sattam Bin Abdulaziz University Department of Computer Science Aflaj Saudi Arabia
The article considers the task of classifying fractal time series based on the construction of their recurrence plots. Short realizations of EEG signals were used as input data. Two classification machine learning met... 详细信息
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Optimal Double-Kernel Combination for Classification
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6th international conference on machine learning and data mining in pattern recognition
作者: Wang, Feng Zhang, Hongbin Beijing Univ Sci & Technol Coll Comp Sci Beijing 100124 Peoples R China
Traditional kernelised classification methods Could not perforin well sometimes because of the using of a single and fixed kernel, especially oil sonic complicated data sets. In this paper. a novel optimal double-kern... 详细信息
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Application of Deep learning in Imaging diagnosis of Brain diseases  3
Application of Deep Learning in Imaging diagnosis of Brain d...
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3rd international conference on machine learning, Big data and Business Intelligence (MLBDBI)
作者: Liang, Junchen Wang, Zhaoze Ye, Xiangyang Xi An Jiao Tong Univ Sch Math & Stat Xian Peoples R China Wenzhou Kean Univ Dept Comp Sci Wenzhou Zhejiang Peoples R China Jilin Univ Coll Automot Engn Changchun Peoples R China
The brain is one of the most important parts of the human body, and the diagnosis of its diseases is of great significance to the treatment of diseases. With the rapid development of deep learning in recent years, its... 详细信息
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Research on Radiation Damage Characteristics of Optical Fiber Materials Based on data mining and machine learning  3rd
Research on Radiation Damage Characteristics of Optical Fibe...
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3rd European-Alliance-for-Innovation (EAI) international conference on Advanced Hybrid Information Processing (ADHIP)
作者: Li, Ang Wang, Tian-hui Jilin Univ Zhuhai Coll Zhuhai Peoples R China
In order to better analyze the damage characteristics of fiber materials under radiation environment, combined with data mining algorithm to calculate the degree of damage of material structure damage. Combine with ma... 详细信息
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