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Consistency of support vector machines for forecasting the evolution of
  an unknown ergodic dynamical system from observations with unknown noise
v1v2 (latest)

Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise

Annals of Statistics (AoS), 2007
2 July 2007
Ingo Steinwart
Marian Anghel
ArXiv (abs)PDFHTML

Papers citing "Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise"

7 / 7 papers shown
Meta-Posterior Consistency for the Bayesian Inference of Metastable System
Meta-Posterior Consistency for the Bayesian Inference of Metastable System
Zachary P Adams
Sayan Mukherjee
251
0
0
03 Aug 2024
On Learnability under General Stochastic Processes
On Learnability under General Stochastic Processes
A. Dawid
Ambuj Tewari
330
6
0
15 May 2020
Gibbs posterior convergence and the thermodynamic formalism
Gibbs posterior convergence and the thermodynamic formalism
K. Mcgoff
S. Mukherjee
A. Nobel
276
10
0
24 Jan 2019
MACRO: A Meta-Algorithm for Conditional Risk Minimization
MACRO: A Meta-Algorithm for Conditional Risk Minimization
Alexander Zimin
Christoph H. Lampert
190
0
0
01 Jan 2018
Empirical risk minimization and complexity of dynamical models
Empirical risk minimization and complexity of dynamical models
K. Mcgoff
A. Nobel
265
11
0
18 Nov 2016
Prediction of Dynamical time Series Using Kernel Based Regression and
  Smooth Splines
Prediction of Dynamical time Series Using Kernel Based Regression and Smooth Splines
Raymundo Navarrete
D. Viswanath
AI4TS
363
4
0
31 Oct 2015
A Bernstein-type Inequality for Some Mixing Processes and Dynamical
  Systems with an Application to Learning
A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning
H. Hang
Ingo Steinwart
251
53
0
13 Jan 2015
1
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