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检索条件"机构=Computer Science and Engineering Laboratory"
58311 条 记 录,以下是1-10 订阅
排序:
Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning
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IEEE/CAA Journal of Automatica Sinica 2024年 第11期11卷 2204-2219页
作者: Yuanxin Lin Zhiwen Yu Kaixiang Yang Ziwei Fan C.L.Philip Chen the School of Computer Science and Engineering in South China University of Technology IEEE the Pengcheng Laboratory
Multi-label classification is a challenging problem that has attracted significant attention from researchers, particularly in the domain of image and text attribute annotation. However, multi-label datasets are prone... 详细信息
来源: 评论
Hybrid IT? Algorithm for Large-Scale Colored Traveling Salesman Problem
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Chinese Journal of Electronics 2024年 第6期33卷 1337-1345页
作者: Xueshi DONG College of Computer Science and Technology Qingdao University Beijing Key Laboratory of Urban Spatial Information Engineering School of Computer Science Wuhan University
In the fields of intelligent transportation and multi-task cooperation, many practical problems can be modeled by colored traveling salesman problem(CTSP). When solving large-scale CTSP with a scale of more than 1000d... 详细信息
来源: 评论
Partial multi-label learning via label-specific feature corrections
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science China(Information sciences) 2025年 第3期68卷 95-109页
作者: Jun-Yi HANG Min-Ling ZHANG School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of Education
Partial multi-label learning(PML) allows learning from rich-semantic objects with inaccurate annotations, where a set of candidate labels are assigned to each training example but only some of them are valid. Existi... 详细信息
来源: 评论
A survey on cross-user federated recommendation
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science China(Information sciences) 2025年 第4期68卷 7-32页
作者: Enyue YANG Yudi XIONG Wei YUAN Weike PAN Qiang YANG Zhong MING College of Computer Science and Software Engineering Shenzhen University School of Electrical Engineering and Computer Science The University of Queensland WeBank AI Lab WeBank Department of Computer Science and Engineering Hong Kong University of Science and Technology College of Big Data and Internet Shenzhen Technology University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distri... 详细信息
来源: 评论
Attribute grouping-based naive Bayesian classifier
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science China(Information sciences) 2025年 第3期68卷 125-149页
作者: Yulin HE Guiliang OU Philippe FOURNIER-VIGER Joshua Zhexue HUANG Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) College of Computer Science & Software Engineering Shenzhen University
The naive Bayesian classifier(NBC) is a supervised machine learning algorithm having a simple model structure and good theoretical interpretability. However, the generalization performance of NBC is limited to a large... 详细信息
来源: 评论
An infrastructure software perspective toward computation offloading between executable specifications and foundation models
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science China(Information sciences) 2025年 第4期68卷 380-382页
作者: Dezhi RAN Mengzhou WU Yuan CAO Assaf MARRON David HAREL Tao XIE Key Laboratory of High Confidence Software Technologies (PKU) Ministry of Education School of Computer SciencePeking University School of Electronics Engineering and Computer Science Peking University Department of Computer Science and Applied Mathematics Weizmann Institute of Science
Foundation models(FMs) [1] have revolutionized software development and become the core components of large software systems. This paradigm shift, however, demands fundamental re-imagining of software engineering theo...
来源: 评论
Towards kernelizing the classifier for hyperbolic data
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Frontiers of computer science 2024年 第1期18卷 17-31页
作者: Meimei YANG Qiao LIU Xinkai SUN Na SHI Hui XUE School of Computer Science and Engineering Southeast UniversityNanjing 210096China MOE Key Laboratory of Computer Science and Information Integration(Southeast University) Nanjing 210096China
Data hierarchy,as a hidden property of data structure,exists in a wide range of machine learning applications.A common practice to classify such hierarchical data is first to encode the data in the Euclidean space,and... 详细信息
来源: 评论
Formal Verification of Data Modifications in Cloud Block Storage Based on Separation Logic
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Chinese Journal of Electronics 2024年 第1期33卷 112-127页
作者: Bowen ZHANG Zhao JIN Hanpin WANG Yongzhi CAO Key Laboratory of High Confidence Software Technologies (MOE) School of Computer Science Peking University School of Computer and Artificial Intelligence Zhengzhou University School of Computer Science and Cyber Engineering Guangzhou University
Cloud storage is now widely used, but its reliability has always been a major concern. Cloud block storage(CBS) is a famous type of cloud storage. It has the closest architecture to the underlying storage and can prov... 详细信息
来源: 评论
Highly Efficient Back‑End‑of‑Line Compatible Flexible Si‑Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision
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Nano-Micro Letters 2024年 第11期16卷 323-339页
作者: Dayanand Kumar Hanrui Li Dhananjay D.Kumbhar Manoj Kumar Rajbhar Uttam Kumar Das Abdul Momin Syed Georgian Melinte Nazek El‑Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer EngineeringComputer Electrical Mathematical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)23955‑6900 ThuwalSaudi Arabia
The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices,opening numerous opportunities across countless domains,including personalized healthcare and adv... 详细信息
来源: 评论
AsyCo: an asymmetric dual-task co-training model for partial-label learning
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science China(Information sciences) 2025年 第5期68卷 332-347页
作者: Beibei LI Yiyuan ZHENG Beihong JIN Tao XIANG Haobo WANG Lei FENG College of Computer Science Chongqing University State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences School of Software Technology Zhejiang University School of Computer Science and Engineering Nanyang Technological University
Partial-label learning(PLL) is a typical problem of weakly supervised learning, where each training instance is annotated with a set of candidate labels. Self-training PLL models achieve state-of-the-art performance b... 详细信息
来源: 评论