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High Dimensional Optimization for Electronic Design:

, In: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD,

Wen, Yuejiang ; Dean, Jacob ; Floyd, Brian A.. - p. 153-157 , 2022

Link: https://dl.acm.org/doi/10.1145/3551901.3556495

RT 
T1 <cTitle>Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD</cTitle>: T1 <Title>High Dimensional Optimization for Electronic Design</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3556495&Exemplar=1&LAN=DE
				
A1 Wen, Yuejiang
A1 Dean, Jacob
A1 Floyd, Brian A.
A1 Franzon, Paul D.
PB ACM
YR 2022
K1 Bayesian optimization
K1 analog circuits
K1 electronic design automation (EDA)
K1 high dimensions
K1 local inspection
K1 random embeddings
K1 Hardware
K1 Electronic design automation
K1 Integrated circuits
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Bayesian computation
K1 Software and its engineering
K1 Software creation and management
K1 Search-based software engineering
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging tools and methodologies
K1 Mathematical software
K1 Solvers
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Learning in probabilistic graphical models
K1 Bayesian network models
K1 Communication hardware, interfaces and storage
K1 Wireless devices
SP 153
OP 157
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551901.3556495
DO https://dl.acm.org/doi/10.1145/3551901.3556495
SF ELIB - SuUB Bremen

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