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检索条件"任意字段=6th International Conference on Machine Learning and Data Mining in Pattern Recognition"
2851 条 记 录,以下是431-440 订阅
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data mining Approach in Predicting House Price for Automated Property Appraiser Systems  6th
Data Mining Approach in Predicting House Price for Automated...
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6th international conference on Innovative Computing and Communication, ICICC 2023
作者: Yousir, Naeem th. Abdulameer, Shaymaa Mohammed Mostafa, Salama A. College of Information Engineering Al-Nahrain University Baghdad10072 Iraq Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Batu Pahat Johor86400 Malaysia
the house price prediction model can be a logistic tool in assisting individuals and companies to determine the cost of a property or a house on sale and the best time to acquire a house. With the ever-increasing in h... 详细信息
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Proceedings - 2023 international conference on Blockchain Technology and Applications, ICBTA 2023
Proceedings - 2023 International Conference on Blockchain Te...
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6th international conference on Blockchain Technology and Applications, ICBTA 2023
the proceedings contain 26 papers. the topics discussed include: forecasting model of fishery import and export trade data using deep learning method;assessing word difficulty: a mapping method;three-state recognition...
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Detecting Toxic Comments in Bengali Language  6th
Detecting Toxic Comments in Bengali Language
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6th international conference on Computational Intelligence in pattern recognition, CIPR 2024
作者: Mondal, Abir Roy, Kingshuk Das, Susmita Dutta, Arpita Techno Main Salt Lake Kolkata India School of Computer Science Engineering and Technology Bennett University Greater Noida Uttar Pradesh India
An increasing number of users utilize public platforms to communicate. the languages used by general public are diverse and varied. Detection of the offensive words utilized by people on these online platforms is chal... 详细信息
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Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors  6
Know Your Space: Inlier and Outlier Construction for Calibra...
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6th international conference on Medical Imaging with Deep learning (MIDL)
作者: Narayanaswamy, Vivek Mubarka, Yamen Anirudh, Rushil Rajan, Deepta Spanias, Andreas thiagarajan, Jayaraman J. Arizona State Univ Tempe AZ 85287 USA Lawrence Livermore Natl Lab Livermore CA USA Microsoft Redmond WA USA
We focus on the problem of producing well-calibrated out-of-distribution (OOD) detectors, in order to enable safe deployment of medical image classifiers. Motivated by the difficulty of curating suitable calibration d... 详细信息
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A Survey on Exploratory Mineral data Analysis on Geological Location Using Deep learning  6th
A Survey on Exploratory Mineral Data Analysis on Geological ...
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6th international conference on Information and Communication Technology for Intelligent Systems, ICTIS 2021
作者: Santhi, P. Angelin Pricila, S.A. Devisha, T. Madhumitha, C. tharani, S. Department of Computer Science and Engineering M.Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur639113 India
the increase in demand of metals which is due to the rise in metal prices. As a result, seismic methods will become a more important tool for mine design and exploration to help unravel buildings containing mineral re... 详细信息
来源: 评论
Distributed Photovoltaic Load Probability Forecasting Model Based on Clustering Characteristic  6
Distributed Photovoltaic Load Probability Forecasting Model ...
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6th international conference on machine learning and machine Intelligence, MLMI 2023
作者: Hu, Hailin Yan, Li Data Center State Grid Shandong Electric Power Company Information and Telecommunication Company China
Accurate distributed photovoltaic load forecasting can effectively assist the overall power dispatch and then reduce the risk of grid operation. Different from the existing research, we deeply mine the clustering char... 详细信息
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Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep learning Model  10th
Litchi Fruit Instance Segmentation from UAV Sensed Images Us...
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10th Biennial international conference on pattern recognition and machine Intelligence (PReMI)
作者: Chakraborty, Debarun Deka, Bhabesh Tezpur Univ Dept ECE Tezpur 784028 Assam India
this paper highlights the importance of deep learning-based litchi segmentation in precision agriculture using machine vision. the proposed method involves preparing a mixed UAV litchi and MinneApple database, consist... 详细信息
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the Hidden Influence of Latent Feature Magnitude When learning with Imbalanced data  4th
The Hidden Influence of Latent Feature Magnitude When Learn...
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4th international conference on pattern recognition and Artificial Intelligence, ICPRAI 2024
作者: Dablain, Damien A. Chawla, Nitesh V. Department Computer Science and Lucy Family Institute for Data and Society University of Notre Dame Notre DameIN46553 United States
machine learning (ML) models have difficulty generalizing when the number of training class instances are numerically imbalanced. the problem of generalization in the face of data imbalance has largely been attributed... 详细信息
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Online Multi-label Streaming Feature Selection Based on Neighborhood Approximation Error Rate and Label Correlation  11th
Online Multi-label Streaming Feature Selection Based on Nei...
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11th international Joint conference on Rough Sets, IJCRS 2025
作者: Pan, Siping Zhong, Juda Mao, Yu Lin, Yaojin School of Computer Science Minnan Normal University Fujian Zhangzhou363000 China Key Laboratory of Data Science and Intelligence Application Minnan Normal University Fujian Zhangzhou363000 China
Multi-label learning has garnered significant attention and application in the domains of machine learning, data mining, and pattern recognition. However, existing multi-label learning algorithms often fall short in a... 详细信息
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ESL: Explain to Improve Streaming learning for Transformers  27th
ESL: Explain to Improve Streaming Learning for Transformer...
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27th international conference on pattern recognition, ICPR 2024
作者: Ayyar, Meghna P. Benois-Pineau, Jenny Zemmari, Akka LaBRI CNRS Univ. Bordeaux UMR 5800 Talence33400 France
AI systems in real-world scenarios must be able to60;learn continuously from a stream of data while adapting quickly to concept drift. We propose a training strategy called Explain to improve Streaming learning (ES... 详细信息
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