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Implementation of algorithms for tuning parameters in regularized least squares problems in system identification

Automatica (Oxford), 2013-07, Vol.49 (7), p.2213-2220

2013

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Kernel methods in system identification, machine learning and function estimation: A survey

Automatica (Oxford), 2014-03, Vol.50 (3), p.657-682

2014

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On the estimation of transfer functions, regularizations and Gaussian processes—Revisited

Automatica (Oxford), 2012-08, Vol.48 (8), p.1525-1535

2012

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Regularized System Identification: Learning Dynamic Models from Data

1st Edition 2022, 2022

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System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

IEEE transactions on automatic control, 2014-11, Vol.59 (11), p.2933-2945

2014

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Transfer function and transient estimation by Gaussian process regression in the frequency domain

Automatica (Oxford), 2016-10, Vol.72, p.217-229

2016

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On input design for regularized LTI system identification: Power-constrained input

Automatica (Oxford), 2018-11, Vol.97, p.327-338

2018

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Maximum Entropy Kernels for System Identification

IEEE transactions on automatic control, 2017-03, Vol.62 (3), p.1471-1477

2017

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DaDianNao: A Neural Network Supercomputer

IEEE transactions on computers, 2017-01, Vol.66 (1), p.73-88

2017

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On kernel design for regularized LTI system identification

Automatica (Oxford), 2018-04, Vol.90, p.109-122

Chen, Tianshi

2018

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Cambricon: An Instruction Set Architecture for Neural Networks

2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA), 2016, p.393-405

2016

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ShiDianNao: shifting vision processing closer to the sensor

2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA), 2015, p.92-104

2015

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Scaling Up Estimation of Distribution Algorithms for Continuous Optimization

IEEE transactions on evolutionary computation, 2013-12, Vol.17 (6), p.797-822

2013

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Cambricon-X: An accelerator for sparse neural networks

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2016, p.1-12

2016

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Cambricon-s: addressing irregularity in sparse neural networks through a cooperative software/hardware approach

2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2018, p.15-28

2018

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DaDianNao: A Machine-Learning Supercomputer

2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014, p.609-622

2014

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Global Robust Output Regulation by State Feedback for Strict Feedforward Systems

IEEE transactions on automatic control, 2009-09, Vol.54 (9), p.2157-2163

2009

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HBx-related long non-coding RNA 01152 promotes cell proliferation and survival by IL-23 in hepatocellular carcinoma

Biomedicine & pharmacotherapy, 2019-07, Vol.115, p.108877-108877, Article 108877

2019

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Continuous-Time DC Kernel-A Stable Generalized First-Order Spline Kernel

IEEE transactions on automatic control, 2018-12, Vol.63 (12), p.4442-4447

Chen, Tianshi

2018

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Analysis of Computational Time of Simple Estimation of Distribution Algorithms

IEEE transactions on evolutionary computation, 2010-02, Vol.14 (1), p.1-22

2010

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Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM

IEEE signal processing letters, 2019-08, Vol.26 (8), p.1197-1201

2019

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Fibulin-1 promotes intimal hyperplasia after venous stent implantation through ACE mediated angiotensin II signaling

Heliyon, 2024-04, Vol.10 (7), p.e27626-e27626, Article e27626

2024

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Disturbance Attenuation of Feedforward Systems With Dynamic Uncertainty

IEEE transactions on automatic control, 2008-08, Vol.53 (7), p.1711-1717

2008

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Accelerating Architectural Simulation Via Statistical Techniques: A Survey

IEEE transactions on computer-aided design of integrated circuits and systems, 2016-03, Vol.35 (3), p.433-446

2016

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A survey of neural network accelerators

Frontiers of Computer Science, 2017-10, Vol.11 (5), p.746-761

2017

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Implementation of algorithms for tuning parameters in regularized least squares problems in system identification

Kernel methods in system identification, machine learning and function estimation: A survey

On the estimation of transfer functions, regularizations and Gaussian processes—Revisited

Regularized System Identification: Learning Dynamic Models from Data

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

Transfer function and transient estimation by Gaussian process regression in the frequency domain

On input design for regularized LTI system identification: Power-constrained input

Maximum Entropy Kernels for System Identification

DaDianNao: A Neural Network Supercomputer

On kernel design for regularized LTI system identification

Cambricon: An Instruction Set Architecture for Neural Networks

ShiDianNao: shifting vision processing closer to the sensor

Scaling Up Estimation of Distribution Algorithms for Continuous Optimization

Cambricon-X: An accelerator for sparse neural networks

Cambricon-s: addressing irregularity in sparse neural networks through a cooperative software/hardware approach

DaDianNao: A Machine-Learning Supercomputer

Global Robust Output Regulation by State Feedback for Strict Feedforward Systems

HBx-related long non-coding RNA 01152 promotes cell proliferation and survival by IL-23 in hepatocellular carcinoma

Continuous-Time DC Kernel-A Stable Generalized First-Order Spline Kernel

Analysis of Computational Time of Simple Estimation of Distribution Algorithms

Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM

Fibulin-1 promotes intimal hyperplasia after venous stent implantation through ACE mediated angiotensin II signaling

Disturbance Attenuation of Feedforward Systems With Dynamic Uncertainty

Accelerating Architectural Simulation Via Statistical Techniques: A Survey

A survey of neural network accelerators

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