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共收录 10535 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 工作流自动化 10535 篇

2002.03432 2021-01-11 cs.LG cs.NA cs.NE math.NA stat.ML 57%

On the distance between two neural networks and the stability of learning

Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

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1909.05707 2021-01-11 cs.LG stat.ML 57%

Coarse-scale PDEs from fine-scale observations via machine learning

Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

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2101.02649 2021-01-08 cs.LG cs.RO 57%

CoachNet: An Adversarial Sampling Approach for Reinforcement Learning

Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

Comments NeurIPS2019 Workshop on Safety and Robustness in Decision Making

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2012.08507 2021-01-08 cs.LG math.OC stat.ML 57%

Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes

Dongruo Zhou, Quanquan Gu, Csaba Szepesvari

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

Comments 59 pages, 1 figure

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2101.01336 2021-01-06 cs.IT cs.LG eess.SP math.IT 57%

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays

Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

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2012.15427 2021-01-05 quant-ph cs.LG cs.SY eess.SY 57%

Curriculum-based Deep Reinforcement Learning for Quantum Control

Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

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2005.10076 2020-12-30 math.OC cs.LG 57%

Data-driven learning of robust nonlocal physics from high-fidelity synthetic data

Huaiqian You, Yue Yu, Nathaniel Trask, Mamikon Gulian, Marta D'Elia

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Comments 32 pages, 10 figures, 3 tables

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2012.13582 2020-12-29 eess.IV cs.CV cs.LG 57%

Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays

Chirath Dasanayakaa, Maheshi Buddhinee Dissanayake

专题命中 工作流自动化 :tool use(abstract);分类 cs.LG

Comments Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2020)

Journal ref Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2020)

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2012.13254 2020-12-25 cs.SE 57%

Designing a Socio-Technical Business Process for Analyzing Information Quality Requirements: Experience Report

Mohamad Gharib

专题命中 工作流自动化 :workflow(abstract);分类 cs.SE

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2012.13026 2020-12-25 cs.AI 57%

Rethink AI-based Power Grid Control: Diving Into Algorithm Design

Xiren Zhou, Siqi Wang, Ruisheng Diao, Desong Bian, Jiahui Duan, Di Shi

专题命中 工作流自动化 :agent(abstract);分类 cs.AI

Comments Accepted by 34th NeurIPS Ml4eng Workshop, 2020

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2011.05025 2020-12-23 physics.med-ph cs.CV cs.LG 57%

Deep correction of breathing-related artifacts in real-time MR-thermometry

Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries, Laurent Facq, Chrit Moonen

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Comments 21 pages, 9 figures, 1 table

Journal ref Computerized Medical Imaging and Graphics, 2020

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2012.06845 2020-12-17 cs.AI cs.DS 57%

A Unified Model for the Two-stage Offline-then-Online Resource Allocation

Yifan Xu, Pan Xu, Jianping Pan, Jun Tao

专题命中 工作流自动化 :agent(abstract);分类 cs.AI

Comments Accepted by IJCAI 2020 (http://static.ijcai.org/2020-accepted_papers.html) and SOLE copyright holder is IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved

Journal ref IJCAI 2020

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2004.14308 2020-12-17 physics.chem-ph cs.LG stat.ML 57%

Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning

Julien Horwood, Emmanuel Noutahi

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

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2012.08403 2020-12-16 cs.LG cs.NE 57%

Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems

Marcus Venzke, Daniel Klisch, Philipp Kubik, Asad Ali, Jesper Dell Missier, Volker Turau

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Comments 21 pages, 13 figures

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2012.07521 2020-12-15 cs.CL 57%

Procode: the Swiss Multilingual Solution for Automatic Coding and Recoding of Occupations and Economic Activities

Nenad Savic, Nicolas Bovio, Fabian Gilbert, Irina Guseva Canu

专题命中 工作流自动化 :workflow(abstract);分类 cs.CL

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2001.06094 2020-12-15 cs.CV cs.CL cs.IR 57%

On- Device Information Extraction from Screenshots in form of tags

Sumit Kumar, Gopi Ramena, Manoj Goyal, Debi Mohanty, Ankur Agarwal, Benu Changmai, Sukumar Moharana

专题命中 工作流自动化 :workflow(abstract);分类 cs.CL

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2012.05043 2020-12-10 q-bio.QM cs.LG 57%

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Journal ref Preprint version of the paper in International Journal of Applied Earth Observation and Geoinformation, Volume 92, October 2020, 102174

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1901.02094 2020-12-10 cs.LG cs.CR stat.ML 57%

Differentially Private ADMM for Distributed Medical Machine Learning

Jiahao Ding, Xiaoqi Qin, Wenjun Xu, Yanmin Gong, Chi Zhang, Miao Pan

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

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2012.03845 2020-12-08 cs.CL 57%

Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis

Jean-Baptiste Camps, Thibault Clérice, Ariane Pinche

专题命中 工作流自动化 :workflow(abstract);分类 cs.CL

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2012.03554 2020-12-08 stat.ML cs.LG stat.AP 57%

Teaching reproducible research for medical students and postgraduate pharmaceutical scientists

Andreas D. Meid

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

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2012.02794 2020-12-08 econ.GN cs.AI q-fin.EC 57%

Impact of weather factors on migration intention using machine learning algorithms

John Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus

专题命中 工作流自动化 :workflow(abstract);分类 cs.AI

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2012.01649 2020-12-04 cs.SE cs.RO 57%

YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments

Mario Gleirscher

专题命中 工作流自动化 :workflow(abstract);分类 cs.SE

Comments In Proceedings FMAS 2020, arXiv:2012.01176

Journal ref EPTCS 329, 2020, pp. 31-47

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2012.01356 2020-12-03 cs.RO cs.LG 57%

Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching

Aleksei Gonnochenko, Aleksandr Semochkin, Dmitry Egorov, Dmitrii Statovoy, Seyedhassan Zabihifar, Aleksey Postnikov, Elena Seliverstova, Ali Zaidi, Jayson Stemmler, Kevin Limkrailassiri

专题命中 工作流自动化 :planning(abstract);分类 cs.LG

Comments 9 pages, 12 images

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2012.00617 2020-12-02 eess.IV cs.CV cs.LG 57%

Overcoming the limitations of patch-based learning to detect cancer in whole slide images

Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

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2005.05541 2020-12-02 stat.ML cs.LG 57%

Modularizing Deep Learning via Pairwise Learning With Kernels

Shiyu Duan, Shujian Yu, Jose Principe

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020

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2011.14227 2020-12-01 eess.SP cs.LG 57%

PCPs: Patient Cardiac Prototypes

Dani Kiyasseh, Tingting Zhu, David A. Clifton

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

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2011.13788 2020-11-30 cs.LG physics.chem-ph 57%

CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method

Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

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2010.11269 2020-11-30 cs.NI cs.LG eess.SP 57%

Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems

Shu Sun, Xiaofeng Li

专题命中 工作流自动化 :agent(abstract);分类 cs.LG

Comments 14 pages, 4 figures

Journal ref Computing Conference 2021

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2011.12429 2020-11-26 eess.IV cs.CV cs.LG 57%

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning

Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Journal ref IEEE BIBE 2020 Proceedings

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2009.13154 2020-11-25 cs.LG stat.ML 57%

Balancing thermal comfort datasets: We GAN, but should we?

Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller

专题命中 工作流自动化 :workflow(abstract);分类 cs.LG

Comments 10 pages, submitted and accepted to BuildSys'20 (http://buildsys.acm.org/2020/)

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