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检索条件"机构=Computer And Data Science Laboratories"
338 条 记 录,以下是151-160 订阅
排序:
Scheduling Space Expander: An Extension of Concurrency Control for data Ingestion Queries
arXiv
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arXiv 2023年
作者: Nakazono, Sho Uchiyama, Hiroyuki Fujiwara, Yasuhiro Kawashima, Hideyuki NTT Computer and Data Science Laboratories Tokyo Japan Recruit Co. Ltd. Tokyo Japan NTT Communication Science Laboratories Kanagawa Japan Faculty of Environment and Information Studies Keio University Kanagawa Japan
With the continuing advances of sensing devices and IoT applications, database systems needs to process data ingestion queries that update the sensor data frequently. To process data ingestion queries with transaction... 详细信息
来源: 评论
Efficient Algorithm for Computing Link-Based Similarity in Real World Networks
Efficient Algorithm for Computing Link-Based Similarity in R...
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IEEE International Conference on data Mining (ICDM)
作者: Yuanzhe Cai Gao Cong Xu Jia Hongyan Liu Jun He Jiaheng Lu Xiaoyong Du Key Laboratories of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Computer Science University of Aalborg Denmark Department of Management Science and Engineering Tsinghua University China
Similarity calculation has many applications, such as information retrieval, and collaborative filtering, among many others. It has been shown that link-based similarity measure, such as SimRank, is very effective in ... 详细信息
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Exploring choice overload in related-article recommendations in digital libraries  5
Exploring choice overload in related-article recommendations...
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5th Workshop on Bibliometric-Enhanced Information Retrieval, BIR 2017
作者: Beierle, Felix Aizawa, Akiko Beel, Joeran Service-centric Networking Technische Universität Berlin Telekom Innovation Laboratories Berlin Germany Digital Content and Media Sciences Research Division Tokyo Japan Trinity College Dublin School of Computer Science and Statistics Intelligent Systems Discipline Knowledge and Data Engineering Group ADAPT Centre Dublin Ireland
We investigate the problem of choice overload - the difficulty of making a decision when faced with many options - when displaying related-article recommendations in digital libraries. So far, research regarding to ho... 详细信息
来源: 评论
Quantum Circuit Fragments: Efficient and Verifiable Format for Quantum Circuits
Quantum Circuit Fragments: Efficient and Verifiable Format f...
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Quantum Computing and Engineering (QCE), IEEE International Conference on
作者: Rei Tokami Yasunari Suzuki Yuuki Tokunaga Department of Applied Physics Graduate School of Engineering The University of Tokyo Tokyo Japan Computer and Data Science Laboratories Nippon Telegraph and Telephone Tokyo Japan
An efficient and intuitive format of quantum programs is an indispensable component to handle large-scale quantum computers. Representing and manipulating a sequence of quantum instructions as a network of quantum gat... 详细信息
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Standardization Trends Related to Application- and Service-related Technologies
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NTT Technical Review 2024年 第1期22卷 43-49页
作者: Sugimoto, Shiori Nagao, Jiro Yasuda, Kan Kikuchi, Ryo Ichikawa, Atsunori NTT Computer and Data Science Laboratories Japan Research and Development Planning Department Research and Development Market Strategy Division NTT Corporation Japan Cryptography Research Group Information Security Technology Project NTT Social Informatics Laboratories Japan NTT Social Informatics Laboratories Japan
This article describes the standardization trends in the International Organization for Standardization/ International Electrotechnical Commission Joint Technical Committee 1 (ISO/IEC JTC 1)/Subcommit-tee 29 (SC 29), ... 详细信息
来源: 评论
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
arXiv
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arXiv 2023年
作者: Fu, Yuqian Xie, Yu Fu, Yanwei Jiang, Yu-Gang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China Purple Mountain Laboratories Nanjing China School of Data Science Fudan University China
Cross-Domain Few-Shot Learning (CD-FSL) is a recently emerging task that tackles few-shot learning across different domains. It aims at transferring prior knowledge learned on the source dataset to novel target datase... 详细信息
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Local Methods for Estimating SimRank Score
Local Methods for Estimating SimRank Score
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International Asia-Pacific Web Conference (APWEB)
作者: Xu Jia Hongyan Liu Li Zou Jun He Xiaoyong Du Yuanzhe Cai Ministry of Education Key Laboratories of Data Engineering and Knowledge Engineering China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China Department of Computer Science University of Texas Arlington TX USA
SimRank is a well known algorithm which conducts link analysis to measure similarity between each pair of nodes (nodepair). But it suffers from high computational cost, limiting its usage in large-scale datasets. More... 详细信息
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The ANBESS Test Payload
The ANBESS Test Payload
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OCEANS
作者: D. Baker R. Canada G. Prine NSTL Engineering Laboratory Computer Science Corporation MS USA National Space Technology Laboratories Data Buoy National Oceanic and Atmospheric Administration MS USA
A low-power (36 Wh/day), microprocessor-controlled weather data telemetry system was developed to test the concept of using U.S. Coast Guard Aids-to-Navigation buoys as platforms for measuring nearshore weather. The ... 详细信息
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An Implicit data Structure For The Dictionary Problem That Runs In Polylog Time
An Implicit Data Structure For The Dictionary Problem That R...
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Annual IEEE Symposium on Foundations of computer science
作者: J.I. Munro AT and T Bell Laboratories Inc. Murray Hill NJ USA Data Structuring Group Department of Computer Science University of Waterloo Waterloo ONT Canada
We introduce a data structure that requires only one pointer for every k data values and permits the operations search, insert and delete to be performed in 0 (k log n) time. This structure is used to develop another ... 详细信息
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A practical guide to machine learning interatomic potentials – Status and future
arXiv
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arXiv 2025年
作者: Jacobs, Ryan Morgan, Dane Attarian, Siamak Meng, Jun Shen, Chen Wu, Zhenghao Xie, Clare Yijia Yang, Julia H. Artrith, Nongnuch Blaiszik, Ben Ceder, Gerbrand Choudhary, Kamal Csanyi, Gabor Cubuk, Ekin Dogus Deng, Bowen Drautz, Ralf Fu, Xiang Godwin, Jonathan Honavar, Vasant Isayev, Olexandr Johansson, Anders Kozinsky, Boris Martiniani, Stefano Ong, Shyue Ping Poltavsky, Igor Schmidt, K.J. Takamoto, So Thompson, Aidan Westermayr, Julia Wood, Brandon M. Department of Materials Science and Engineering University of Wisconsin-Madison MadisonWI55705 United States Harvard University Center for the Environment Harvard University CambridgeMA02138 United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Materials Chemistry and Catalysis Debye Institute for Nanomaterials Science Utrecht University Utrecht3584 CG Netherlands Globus University of Chicago ChicagoIL United States Data Science and Learning Division Argonne National Laboratory LemontIL United States Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory CA94720 United States Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Google DeepMind Mountain ViewCA United States Ruhr-Universität Bochum Bochum44780 Germany Meta United States Orbital Materials London United Kingdom Department of Computer Science and Engineering The Pennsylvania State University University ParkPA United States College of Information Sciences and Technology The Pennsylvania State University University ParkPA United States Artificial Intelligence Research Laboratory The Pennsylvania State University University ParkPA United States Center for Artificial Intelligence Foundations and Scientific Applications The Pennsylvania State University University ParkPA United States Department of Chemistry Mellon College of Science Carnegie Mellon University PittsburghPA15213 United States Computational Biology Department School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Courant Institute of Mathematical Sciences New York University New YorkNY10003 United States Center for Soft Matter Research Department of P
The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not experts but wish to use these tools. The s... 详细信息
来源: 评论