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Gaussian process
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#	Item
171	Contextual Gaussian Process Bandit Optimization Andreas Krause Cheng Soon Ong Department of Computer Science, ETH Zurich, 8092 Zurich, Switzerland Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Exponentials Operator theory Kernel Positive-definite kernel Gaussian process Mathematics Algebra Gaussian function
172	Journal of Machine Learning Research[removed]3015 Submitted 8/10; Revised 9/10; Published[removed]Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-11-19 19:10:52 Gaussian process Likelihood function Variational Bayesian methods Marginal likelihood Kriging Covariance Regression analysis Conjugate prior Maximum likelihood Statistics Bayesian statistics Estimation theory
173	arXiv:1302.5324v3 [stat.CO] 18 Feb[removed]Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes Simon Lyons, Simo S¨arkk¨a, and Amos Storkey∗† Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 21:27:42 Linear filters Control theory Robot control Unscented transform Kalman filter Filtering problem Gaussian filter Brownian motion Wiener process Statistics Stochastic processes Estimation theory
174	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Stochastic growth models for analyzing crustacean data Chuan Hui Foo a and You-Gan Wang a a Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:02:18 Lévy process Normal distribution Gaussian process Stochastic differential equation Wiener process Moulting Statistics Stochastic processes Inverse Gaussian distribution
175	Surpassing Human-Level Face Verification Performance on LFW with GaussianFace Chaochao Lu Xiaoou Tang Add to Reading List Source URL: luchaochao.me Language: English - Date: 2015-03-30 03:26:39 Econometrics Cluster analysis Machine learning Mixture model Normal distribution Support vector machine Regression analysis Gaussian process Statistics Statistical models Statistical classification
176	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad Scott Sanner ANU & NICTA NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-04-25 08:14:01 Markov chain Normal distribution Dirichlet process Bayesian inference Marginal likelihood Conjugate prior Statistics Bayesian statistics Mixture model
177	Dynamic Correlations in Symmetric Multivariate SV Models Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:38:31 Time series analysis Stochastic processes Covariance and correlation Stochastic volatility Autoregressive conditional heteroskedasticity Multivariate normal distribution Markov chain Gaussian process Volatility Statistics Mathematical finance Econometrics
178	5 SHORT-TERM STATISTICS 5 29 Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 21:28:56 Wave height Normal distribution Central limit theorem Wave Gaussian process Rayleigh distribution Errors and residuals in statistics Statistics Water waves Physical oceanography
179	A Hamiltonian approach to the adjoint technique (with application to a Variational Gaussian Process Approximation) Renata Retkute and Ian Roulstone Department of Mathematics Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2009-05-28 10:41:52 Symplectic integrator Spray Chebyshev function Physics Hamiltonian mechanics Theoretical physics
180	Hierarchical Latent Dictionaries for Models of Brain Activation Alona Fyshe Machine Learning Carnegie Mellon University Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-06 21:39:41 Variational Bayesian methods Normal distribution Maximum likelihood Gaussian process Interpretation Principal component analysis Statistics Bayesian statistics Estimation theory

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