Comments on: Dynamic relations for sparsely sampled Gaussian processes

Comments on: Dynamic relations for sparsely sampled Gaussian processes

10.1007/s11749-009-0180-8

Saved in:

書目詳細資料
Main Authors:	Fan, J., Zhang, J.-T., Zhang, W.
其他作者:	STATISTICS & APPLIED PROBABILITY
格式:	Others
出版:	2014
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/105483
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Real-time unstable approach detection using sparse variational Gaussian process
由: Singh, Narendra Pratap, et al.
出版: (2020)

Edge detection in sparse Gaussian graphical models
由: Luo, S., et al.
出版: (2014)

Learning Sparse Fixed-Structure Gaussian Bayesian Networks
由: Bhattacharyya, Arnab, et al.
出版: (2021)

Rapid process modeling of the aerosol jet printing based on gaussian process regression with latin hypercube sampling
由: Zhang, Haining, et al.
出版: (2021)

Finite sample comparison of alternative estimators for fractional Gaussian noise
由: SHI, Shuping, et al.
出版: (2022)

The Myth of Percentage Sample: Further Comments
由: THOMAS, Howard
出版: (1972)

A sparse sampling model for 3D face recognition
由: Yuan, J., et al.
出版: (2014)

Performance of frequency estimation using sparsed sampling
由: Du, Liang
出版: (2018)

Respondent-driven sampling and sparse graph convergence
由: Athreya, S., et al.
出版: (2022)

Online Learning and Planning of Dynamical Systems Using Gaussian Processes
由: ANKIT GOYAL
出版: (2015)

Sampling and reconstruction of sparse signals in fractional fourier domain
由: Ayush Bhandari, et al.
出版: (2010)

A modification of the sampling series with a Gaussian multiplier
由: Qian, L., et al.
出版: (2014)

Adaptive collective routing using gaussian process dynamic congestion models
由: LIU, Siyuan, et al.
出版: (2013)

SparseTrack: Enhancing indoor pedestrian tracking with sparse infrastructure support
由: Jin, Y., et al.
出版: (2014)

NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
由: YU HAIBIN
出版: (2020)

Gaussian process on regression
由: Lee, Kenneth Jing Wei
出版: (2023)

Efficient Statistics for Sparse Graphical Models from Truncated Samples.
由: ARNAB BHATTACHARYYA, et al.
出版: (2020)

MODELING SURFACE PROFILES USING GAUSSIAN PROCESSES WITH ENGINEERING APPLICATIONS
由: ZHANG LINMIAO
出版: (2015)

Design of sparse PID controller for multivariable processes system based on relative energy array
由: Zhao, Shizheng.
出版: (2010)

SPATIO-TEMPORAL GAUSSIAN PROCESS REGRESSION (STGPR) FOR RELATIVE RISK OF COVID-19 MODELING
由: Widyawati, Erni

Comments on 'on the Relevance of Finite Sample Distribution Theory' by W.M. Taylor
由: Mariano, Roberto S.
出版: (1983)

Bayesian change detection based on spatial sampling and Gaussian mixture model
由: Çelik, T.
出版: (2014)

Ship energy consumption prediction with Gaussian process metamodel
由: Yuan, J., et al.
出版: (2022)

Sparse signal processing for image applications
由: Gao, Haoran
出版: (2023)

Sparse dynamic reorganising fuzzy neural networks
由: Zhou, Jair Weigui
出版: (2017)

Alternative to extended block sparse Bayesian learning and its relation to pattern-coupled sparse Bayesian learning
由: Wang, Lu, et al.
出版: (2020)

Collusion-resistant spatial phenomena crowdsourcing via mixture of Gaussian Processes regression
由: Zhang, Jie, et al.
出版: (2019)

Microscopic chaos and Gaussian diffusion processes
由: Chew, L.Y., et al.
出版: (2014)

Microscopic Chaos and Gaussian Diffusion Processes
由: CHEW, L. Y., et al.
出版: (2002)

Gaussian processes for pattern recognition applications
由: Yan, Gao
出版: (2009)

The consecutive ones submatrix problem for sparse matrices
由: Tan, J., et al.
出版: (2014)

A discretization-free sparse and parametric approach for linear array signal processing
由: Zhang, Cishen, et al.
出版: (2014)

Random quantum codes from gaussian ensembles and an uncertainty relation
由: Hayden, P., et al.
出版: (2014)

Modeling tunnel profile in the presence of coordinate errors: A Gaussian process-based approach
由: Chen Zhang, et al.
出版: (2018)

Medical image reconstruction from sparse samples using simultaneous perturbation stochastic optimization
由: Venkatesh, Y.V., et al.
出版: (2014)

Sparse signal processing and compressed sensing recovery
由: Sujit Kumar Sahoo
出版: (2014)

Airborne FMCW SAR sparse data processing via frequency-scaling algorithm
由: Bi, Hui, et al.
出版: (2022)

Sparse hidden-dynamics conditional random fields for user intent understanding
由: Shen, Y., et al.
出版: (2014)

Comments on "Quadratic stability and stabilization of dynamic interval systems"
由: Yang, G.-H., et al.
出版: (2014)

p-Variation of gaussian processes with stationary increments
由: Shao, Q.-M.
出版: (2014)