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检索条件"主题词=learning algorithms"
13208 条 记 录,以下是531-540 订阅
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Educational Strategies and Tools Based on AI: A Systematic Mapping for the Personalization of learning  18th
Educational Strategies and Tools Based on AI: A Systematic M...
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18th Colombian Conference on Computing
作者: Cortes-Navarroe, Daniel Augusto Alvarez-Calvoe, Santiago Alberto Cuesta-Quintero, Byron Rico-Bautista, Dewar Univ Francisco de Paula Santander Ocana Colombia
The implementation of artificial intelligence (AI) in education is today an innovative strategy that cannot be ignored when accompanying learning processes, with the aim of transforming educational systems and taking ... 详细信息
来源: 评论
Multi-Granularity Causal Structure learning  38
Multi-Granularity Causal Structure Learning
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38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence
作者: Liang, Jiaxuan Wang, Jun Yu, Guoxian Xia, Shuyin Wang, Guoyin Shandong Univ Sch Software Jinan Peoples R China Shandong Univ SDU NTU Joint Ctr AI Res Jinan Peoples R China Chongqing Univ Posts & Telecom Chongqing Key Lab Computat Intelligence Chongqing Peoples R China Chongqing Univ Posts & Telecom MOE Key Lab Big Data Intelligent Comp Chongqing Peoples R China
Unveiling, modeling, and comprehending the causal mechanisms underpinning natural phenomena stand as fundamental endeavors across myriad scientific disciplines. Meanwhile, new knowledge emerges when discovering causal... 详细信息
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Control-based algorithms for high dimensional online learning
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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2020年 第3期357卷 1909-1942页
作者: Ning, Hanwen Zhang, Jiaming Feng, Ting-Ting Chu, Eric King-wah Tian, Tianhai Zhongnan Univ Econ & Law Dept Stat Wuhan 430073 Peoples R China Hangzhou Dianzi Univ Sch Sci Dept Math Hangzhou 310018 Peoples R China Monash Univ Sch Math Sci Melbourne Vic 3800 Australia
In the era of big data, the high-dimensional online learning problems require huge computing power. This paper proposes a novel approach for high-dimensional online learning. Two new algorithms are developed for onlin... 详细信息
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Why Bring Science to the Forefront?
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COMPUTER 2025年 第5期58卷 65-70页
作者: Hurlburt, George F. Univ Syst Maryland Southern Maryland Wildewood MD 20619 USA
Technology has reached unprecedented scale, interoperability, and societal clout as science ushers in an unparalleled Information Era. However, if protective artificial intelligence guardrails are to be effective, pub... 详细信息
来源: 评论
Machine learning Techniques for Frequency Comb Optimization  3
Machine Learning Techniques for Frequency Comb Optimization
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Quantum Sensing, Imaging, and Precision Metrology III 2025
作者: Floridia, Maximilian Wynn, Scott Nitzsche, Jayan Placke, Bishop Tyler, Matthew Diab, Jack Shariatdoust, Mirali S. Carbajo, Sergio Narang, Prineha Bertozzi, Andrea L. Department of Chemistry and Biochemistry University of California Los AngelesCA90095 United States Department of Computer Science and Engineering University of Washington SeattleWA98195 United States Department of Mathematics and Statistics Pomona College ClaremontCA91711 United States Department of Mathematics University of Nebraska LincolnNE68588 United States Department of Mathematics University of California Los Angeles 520 Portola Plaza Los AngelesCA90095 United States Department of Electrical and Computer Engineering University of California Los Angeles Los AngelesCA90095 United States California NanoSystems Institute 570 Westwood Plaza Los AngelesCA90095 United States Division of Physical Sciences University of California Los AngelesCA90095 United States Department of Mechanical and Aerospace Engineering University of California Los Angeles Los AngelesCA90095 United States
We use supervised and unsupervised machine learning techniques to investigate how optical frequency combs may be used to identify gas molecules in the atmosphere. Dual comb heterodyne detection with GHz and THz repeti... 详细信息
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Visually Grounded Continual Language learning with Selective Specialization
Visually Grounded Continual Language Learning with Selective...
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Conference on Empirical Methods in Natural Language Processing (EMNLP)
作者: Ahrens, Kyra Bengtson, Lennart Lee, Jae Hee Wermter, Stefan Univ Hamburg Hamburg Germany
A desirable trait of an artificial agent acting in the visual world is to continually learn a sequence of language-informed tasks while striking a balance between sufficiently specializing in each task and building a ... 详细信息
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DKAF: KB Arbitration for learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies  61
DKAF: KB Arbitration for Learning Task-Oriented Dialog Syste...
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61st Annual Meeting of the the Association-for-Computational-Linguistics (ACL)
作者: Vivek, Saley Vishal Das, Rocktim Jyoti Raghu, Dinesh Mausam Indian Inst Technol New Delhi India IBM Res New Delhi India
Task-oriented dialog (TOD) agents often ground their responses on external knowledge bases (KBs). These KBs can be dynamic and may be updated frequently. Existing approaches for learning TOD agents assume the KB snaps... 详细信息
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Detecting Hydronephrosis Through Ultrasound Images Using State-of-the-Art Deep learning Models
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Ultrasound in Medicine and Biology 2023年 第3期49卷 723-733页
作者: Lien, Wan-Ching Chang, Yi-Chung Chou, Hsin-Hung Lin, Lung-Chun Liu, Yueh-Ping Liu, Li Chan, Yen-Ting Kuan, Feng-Sen Department of Emergency Medicine National Taiwan University Hospital Taipei Taiwan Department of Emergency Medicine College of Medicine National Taiwan University Taipei Taiwan Department of Computer Science and Engineering National Chi Nan University Nantou Taiwan Department of Medical Affairs Ministry of Health and Welfare Taipei Taiwan Show Chwan Health Care System Taipei Taiwan Department of Research Planning of Omni Health Group Inc. Taipei Taiwan Department of Business Development Huasin H. T. Limited Taipei Taiwan
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis through ultrasound images using state-of-the-art deep learning algorithms. The diagnosis of hydronephrosis is challengi... 详细信息
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Compositional learning for Synchronous Parallel Automata  28th
Compositional Learning for Synchronous Parallel Automata
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28th International Conference on Fundamental Approaches to Software Engineering, FASE 2025, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025
作者: Samadi, Mahboubeh Bastany, Aryan Hojjat, Hossein Tehran Institute for Advanced Studies Khatam University Tehran Iran University of Tehran Tehran Iran
Automata learning is an approach for extracting a model in the shape of an automaton from a black-box system. This approach has recently gained much attention in both industry and academia. In this paper, we introduce... 详细信息
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Early adverse physiological event detection using commercial wearables: challenges and opportunities
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NPJ DIGITAL MEDICINE 2024年 第1期7卷 136页
作者: Phipps, Jesse Passage, Bryant Sel, Kaan Martinez, Jonathan Saadat, Milad Koker, Teddy Damaso, Natalie Davis, Shakti Palmer, Jeffrey Claypool, Kajal Kiley, Christopher Pettigrew, Roderic I. Jafari, Roozbeh Texas A&M Univ Dept Comp Sci & Engn College Stn TX 77843 USA MIT Lab Informat & Decis Syst Cambridge MA 02139 USA Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA MIT Lincoln Lab Lexington MA 02421 USA Def Threat Reduct Agcy Ft Belvoir VA USA Texas A&M Univ Sch Engn Med Houston TX 77030 USA
Data from commercial off-the-shelf (COTS) wearables leveraged with machine learning algorithms provide an unprecedented potential for the early detection of adverse physiological events. However, several challenges in... 详细信息
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