Report on First and Second ACM/IEEE Workshop on Machine Learning for CAD (MLCAD)

被引：0
|
作者：
Wolf, Marilyn [1 ]
Gal, Raviv [2 ]
Henkel, Joerg [3 ]
Schlichtmann, Ulf [4 ]
机构：
[1] Univ Nebraska, Lincoln, NE 68588 USA
[2] IBM Haifa, Haifa, Israel
[3] Karlsruhe Inst Technol, D-76131 Karlsruhe, Germany
[4] Tech Univ Munich, D-80333 Munich, Germany
来源：
IEEE DESIGN & TEST | 2021年 / 38卷 / 02期
关键词：
D O I：
10.1109/MDAT.2021.3066137
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：97 / 99
页数：3
相关论文
共 44 条
  • [21] Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010: Preface
    Kaski, Samuel
    Miller, David J.
    Oja, Erkki
    Honkela, Antti
    Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010, 2010,
  • [22] Bringing advanced analytics experts to the data: Report of an interdisciplinary machine learning workshop
    Stahl-Toyota, Sophia
    Glocker, Katrin
    Perez, Analie Pascoe
    Knurr, Alexander
    Denker, Alexander
    Ueckert, Frank
    CANCER RESEARCH, 2020, 80 (16)
  • [23] Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009: Preface
    Université Joseph Fourier, Grenoble, France
    不详
    不详
    Mach. Learn. Signal Process. XIX - Proc. IEEE Signal Process. Soc. Workshop, MLSP, 2009,
  • [24] Machine Learning for Signal Processing 17th - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP: Preface
    Alexander Technological Education Institute of Thessaloniki, Greece
    不详
    不详
    不详
    不详
    不详
    Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, 2007,
  • [25] Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis
    HIGH PERFORMANCE COMPUTING - ISC HIGH PERFORMANCE DIGITAL 2021 INTERNATIONAL WORKSHOPS, 2021, 12761 : 2 - 6
  • [26] Machine learning and social action in markets: From first- to second-generation automated trading
    Borch, Christian
    Min, Bo Hee
    ECONOMY AND SOCIETY, 2023, 52 (01) : 37 - 61
  • [27] Using AI and machine learning to study expressive music performance: project survey and first report
    Widmer, G
    AI COMMUNICATIONS, 2001, 14 (03) : 149 - 162
  • [28] The evaluation of the first and second laws of thermodynamics for the pulsating MHD nanofluid flow using CFD and machine learning approach
    Hajialigol, Najmeh
    Daghigh, Roonak
    JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2023, 148
  • [29] Maternal thyroid profile in first and second trimester of pregnancy is correlated with gestational diabetes mellitus through machine learning
    Araya, Juan
    Rodriguez, Andres
    Lagos-SanMartin, Karin
    Mennickent, Daniela
    Gutierrez-Vega, Sebastian
    Ortega-Contreras, Bernel
    Valderrama-Gutierrez, Barbara
    Gonzalez, Marcelo
    Farias-Jofre, Marcelo
    Guzman-Gutierrez, Enrique
    PLACENTA, 2021, 103 : 82 - 85
  • [30] 2022 ECMWF-ESA workshop report: current status, progress and opportunities in machine learning for Earth System observation and prediction
    Massimo Bonavita
    Rochelle Schneider
    Rossella Arcucci
    Matthew Chantry
    Marcin Chrust
    Alan Geer
    Bertrand Le Saux
    Claudia Vitolo
    npj Climate and Atmospheric Science, 6
12345