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A Mapper Algorithm with implicit intervals and its optimization
预印本
2024
作者:
Tao, Yuyang
;
Ge, Shufei
Adobe PDF(3369Kb)
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收藏
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浏览/下载:52/3
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提交时间:2025/02/12
Topological Data Analysis
Mapper Graph
Gaussian Mixture Model
Extended Persistence Homology
Stochastic gradient descent
Efficient Nonconvex Optimization for Two-way Sparse Reduced-Rank Regression
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), Athens, Greece, 7-12 July 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(583Kb)
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收藏
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浏览/下载:295/2
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提交时间:2024/08/26
Error statistics
Logistic regression
Matrix algebra
Optimization algorithms
Polynomial regression
Coefficient matrix
Gradient-descent
Hard thresholding
Linear regression modelling
Multiple response
Nonconvex optimization
Nonconvex-optimization
Reduced rank regression
Statistical errors
Two ways
Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding
会议论文
2024 IEEE 13RD SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), Corvallis, OR, USA, 8-11 July 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(519Kb)
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收藏
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浏览/下载:301/2
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提交时间:2024/09/18
Error statistics
Iterative methods
Logistic regression
Support vector regression
Convergence analysis
Gradient-descent
Hard thresholding
Low-rank
Multiple response
Multiple response linear regression
Scaled gradient descent
Sparse
Statistical errors
Two ways
An Online Supercapacitor Capacitance Labeling Method Based on Tram Field Data
会议论文
2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), Chicago, IL, USA, 19-21 June 2024
作者:
Can Zhang
;
Caiying Xu
;
Wenjin Yang
;
Yifei Xu
;
Mingxia Wu
Adobe PDF(3061Kb)
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收藏
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浏览/下载:206/1
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提交时间:2024/08/15
Capacitance
Equivalent circuits
Gradient methods
Online systems
Field data
Gradient Descent method
High-power-density
Labeling methods
Labelings
Long cycles
Online capacitance labeling
Rail transit
State of health
Tram field data
Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(881Kb)
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收藏
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浏览/下载:259/1
|
提交时间:2024/03/29
Low-rank matrix sensing
matrix recovery
preconditioned gradient descent
over-parameterization
From Multipliers to Integrators: a Survey of Stochastic Computing Primitives
期刊论文
IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2024, 卷号: PP, 期号: 99, 页码: 238-249
作者:
Shanshan Liu
;
Josep L. Rosselló
;
Siting Liu
;
Xiaochen Tang
;
Joan Font-Rosselló
Adobe PDF(1184Kb)
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浏览/下载:301/2
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提交时间:2024/03/29
Stochastic computing
multiplier
adder
divider
finite state machine
integrator
gradient descent
HSB-GDM: A Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks
会议论文
PROCEEDINGS OF THE 17TH ACM INTERNATIONAL SYMPOSIUM ON NANOSCALE ARCHITECTURES, NANOARCH 2022, Virtual, Online, United states, December 7, 2022 - December 9, 2022
作者:
Li, Han
;
Shi, Heng
;
Jiang, Honglan
;
Liu, Siting
Adobe PDF(758Kb)
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浏览/下载:366/4
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提交时间:2023/07/14
Digital arithmetic
Energy efficiency
Gradient methods
Timing circuits
Binary circuits
Binary gradients
Edge application
Energy efficient
Gradient-descent
Neural-networks
Quantisation
Stochastic computing
Stochastics
Weight update
Decentralized Federated Learning under Communication Delays
会议论文
2022 IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING, SECON WORKSHOPS 2022, Virtual, Online, Sweden, September 23, 2022
作者:
Lee, Na
;
Shan, Hangguan
;
Song, Meiyan
;
Zhou, Yong
;
Zhao, Zhongyuan
Adobe PDF(1936Kb)
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收藏
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浏览/下载:486/0
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提交时间:2022/12/02
Machine learning
Privacy-preserving techniques
Communication delays
Decentralised
Delay
Distributed machine learning
Distributed optimization
Federated learning
Gradient-descent
Information updates
Momentum gradient descent
Privacy preserving
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization
预印本
2021
作者:
Zhang, Huanyu
;
Zhao, Ziping
Adobe PDF(338Kb)
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收藏
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浏览/下载:209/0
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提交时间:2024/01/09
MIMO system
SINR maximization
waveform constraints
manifold optimization
Riemannian gradient descent
INDIVIDUALLY FAIR GRADIENT BOOSTING
会议论文
ICLR 2021 - 9TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, Virtual, Online, May 3, 2021 - May 7, 2021
作者:
Vargo, Alexander
;
Zhang, Fan
;
Yurochkin, Mikhail
;
Sun, Yuekai
收藏
|
浏览/下载:348/0
|
提交时间:2023/04/28
Adaptive boosting
Gradient methods
Algorithmics
Functional gradient descent
Gradient boosting
Loss functions
Machine-learning
Smooth models
Tabular data
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