Results 11 to 20 of about 28,526 (253)
Aegis: a transformer-based deep learning framework for the accurate identification of anticancer peptides [PDF]
BMC BiologyBackground Anticancer peptides (ACPs) are promising therapeutic agents with selective cytotoxicity toward cancer cells and minimal toxicity toward normal cells.
Zexu Zhou +11 more
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Credit Evaluation Model Based on Dynamic Machine Learning [PDF]
Jisuanji kexue, 2023 With the development of computer technology,using machine learning algorithms to build automated evaluation models has become an important tool to for the financial institutions to conduct credit evaluation.However,currently,the credit evaluation model ...
CHEN Yijun, GAO Haoran, DING Zhijun
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Incremental Feature Selection Algorithm for Dynamic Partially Labeled Hybrid Data [PDF]
Jisuanji kexue, 2022 Many real-world data sets are hybrid data consisting of symbolic,numerical and missing features.For the decision labels of hybrid data,it costs much labor and it is expensive to acquire the decision labels of all data,thus the partially labeled data is ...
YAN Zhen-chao, SHU Wen-hao, XIE Xin
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An algorithm acceleration framework for correlation-based feature selection [PDF]
MATEC Web of Conferences, 2021 Repeated calculations lead to a sharp increase in the time of correlation-based feature selection. Incremental iteration has been applied in some algorithms to improve the efficiency.
Yan Xuefeng, Zhang Yuqing, Khan Arif Ali
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AN INCREMENTAL APPROACH TO MSE-BASED FEATURE SELECTION [PDF]
International Journal of Computational Intelligence and Applications, 2006 Feature selection plays an important role in classification systems. Using classifier error rate as the evaluation function, feature selection is integrated with incremental training. A neural network classifier is implemented with an incremental training approach to detect and discard irrelevant features. By learning attributes one after another, our
Sheng Uei Guan, Yinan Qi, Chunyu Bao
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Multi-Label Feature Selection Combining Three Types of Conditional Relevance
Entropy, 2021 With the rapid growth of the Internet, the curse of dimensionality caused by massive multi-label data has attracted extensive attention. Feature selection plays an indispensable role in dimensionality reduction processing.
Lingbo Gao +4 more
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Data filter function incremental mining based on feature selection in an active distribution network
IET Cyber-Physical Systems, 2020 Compared with traditional distributed networks, the complex access environment, flexible access mode, massive access terminal, and data in an active distribution network will bring great security challenges to data transmission.
Song Deng +5 more
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Frontiers in Physiology, 2020 Myocardial infarction (MI) is a type of serious heart attack in which the blood flow to the heart is suddenly interrupted, resulting in injury to the heart muscles due to a lack of oxygen supply.
Ming Li +5 more
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Feature Selection by mRMR Method for Heart Disease Diagnosis
IEEE Access, 2022 Heart disease has become a non-ignorable threat to human health in recent years. Once without timely diagnosis and treatment, patients often suffer disability or even death.
Gaoshuai Wang +2 more
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A New Evolutionary-Incremental Framework for Feature Selection
Advances in Artificial Intelligence, 2014 Feature selection is an NP-hard problem from the viewpoint of algorithm design and it is one of the main open problems in pattern recognition. In this paper, we propose a new evolutionary-incremental framework for feature selection. The proposed framework can be applied on an ordinary evolutionary algorithm (EA) such as genetic algorithm (GA) or ...
Mohamad Hoseyn Sigari +2 more
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