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检索条件"任意字段=2022 International Conference on Machine Learning and Data Engineering, ICMLDE 2022"
33664 条 记 录,以下是191-200 订阅
排序:
Optimizing Multimodal Federated learning: Novel Approaches for Efficient Model Aggregation and Client Sampling
Optimizing Multimodal Federated Learning: Novel Approaches f...
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international conference on Networking and Network Applications (NaNA)
作者: Wu, Cheng Thong, Iong Chen, Guilin Aihusaini, Naji Zhao, Shenghui Thang, Yuchen Anhui Univ Sch Comp Sci & Technol Hefei Peoples R China Chuzhou Univ Sch Comp & Informat Engn Chuzhou Peoples R China
Federated learning effectively solves the problems of data privacy leakage and communication overhead in centralized machine learning by transferring the model training process from a central server to local devices. ... 详细信息
来源: 评论
An Adaptive Contention Window using Actor-Critic Reinforcement learning Algorithm for Vehicular Ad-hoc NETworks  2
An Adaptive Contention Window using Actor-Critic Reinforceme...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Kumar, Praveen Hota, Lopamudra Nayak, Biraja Prasad Kumar, Arun Department of Computer Science and Engineering National Institute of Technology Rourkela769008 India
The MAC layer IEEE 802.11p standard's collision avoidance mechanism is sub-optimal due to the use of a Binary Exponential Backoff (BEB). This technique has an increase in the backoff slot time to minimize the prob... 详细信息
来源: 评论
machine learning prediction for low-alloy steel strength
Machine learning prediction for low-alloy steel strength
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2022 international conference on Mechatronics engineering and Artificial Intelligence, MEAI 2022
作者: Zhou, Zilong School of Materials Science and Technology China University of Geosciences Beijing Beijing100089 China
The experimental measurement of the strength of low-alloy steel is very cumbersome, but it is also essential to knowledge its strength. In this study, two machine learning methods, random forest (RF) and support vecto... 详细信息
来源: 评论
Diabetes Prediction and Analysis using machine learning Models
Diabetes Prediction and Analysis using Machine Learning Mode...
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2022 international conference on Mechatronics engineering and Artificial Intelligence, MEAI 2022
作者: Li, Yunjiu Wang, Helin Ye, Zhirui Zhou, Haina Rensselaer Polytechnic Institute NY12180 United States Beijing No.2 Middle School Beijing100000 China Shanghai Experimental Foreign Language School Shanghai200090 China Department of computer science University of Utah Salt Lake CityUT84102 United States
Diabetes is a very serious worldwide chronic disease that affects people's life and health. Patients require insulin injections to maintain blood sugar balance exogenously. Methods to detect diabetes are time-cons... 详细信息
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Detection of Objectionable Song Lyrics Using Weakly Supervised learning and Natural Language Processing Techniques  2
Detection of Objectionable Song Lyrics Using Weakly Supervis...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Bolla, Bharath Kumar Pattnaik, Soumya Ranjan Patra, Sambit The University of Arizona United States UpGrad Education Private Limited Mumbai India Liverpool John Moores University United Kingdom
The growth of digital and social media has led to an exponential increase in the availability of music and its lyrics. It has been observed that objectionable content is becoming a huge problem in the age of the digit... 详细信息
来源: 评论
data Centric Optimization Method to Imbalanced datasets
Data Centric Optimization Method to Imbalanced Datasets
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2022 international conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication, ICMSCE 2022
作者: Tanov, Vladislav Ivanov, Ivan Faculty of Economics and Business Administration Sofia University "St. Kl. Ohridski" Bulgaria
The imbalanced data sets is an important investigation in the data science and machine learning domain. This paper is focused on providing an effective algorithm for such cases. In these cases, the number of observati... 详细信息
来源: 评论
Exploring Binary Classification Models for Parkinson's Disease Detection  2
Exploring Binary Classification Models for Parkinson's Disea...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Jain, Vibha Singh, Rohit Gupta, Aditya Manipal University Jaipur Rajasthan India Thapar Institute of Engineering & Technology Punjab Patiala India
Parkinson's disease (PD) is a degenerative condition characterised by a combination of motor symptoms, such as tremors and rigidity, and non-motor symptoms, including cognitive impairment and anxiety. Although the... 详细信息
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Evaluation and Comparison of Ten machine learning Classification Models Based on the Mobile Users Experience  3
Evaluation and Comparison of Ten Machine Learning Classifica...
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3rd international conference on Electronic Information engineering and Computer Science, EIECS 2023
作者: Hu, Haoxiang Zhou, Zhexuan Shandong University School of Mathematics Shandong Jinan250100 China
machine learning prediction is a statistical prediction model based on computer algorithms, which has been very popular with the development of AI. It is the most commonly used tool in big data prediction and data min... 详细信息
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A Hybrid Metaheuristic Algorithm Using Elitist Chemical Reaction Optimization and learning from Knowledge Assimilation for Improving Rule-based Classification Models  2
A Hybrid Metaheuristic Algorithm Using Elitist Chemical Reac...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Saha, Ramandeep Pal, Somnath Indian Institute of Engineering Science and Technology Howrah Shibpur711103 India
There are various paradigms of learning. One such paradigm is learning from knowledge assimilation. In machine learning, such a paradigm may be considered where concepts (classification models) generated from differen... 详细信息
来源: 评论
Self-play learning Samples Generator for Checker  3
Self-play Learning Samples Generator for Checker
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3rd international conference on machine learning and Computer Application, ICMLCA 2022
作者: You, Huibin Ge, Lei Ma, Shunshun Yu, Wentao School of Data and Target Engineering Information Engineering University Zhengzhou China
Computer chess games are one of the most significant research subjects in the field of artificial intelligence. Self-play learning depends only on the chess gaming process and the outcome. Neither knowledge nor expert... 详细信息
来源: 评论