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This paper contributes to the challenge of learning a function on streamed multimodal data through evaluation.
W. Zhu, C. Lan, J. Xing, W. Zeng, Y. Li, L. Shen, and X. Xie · 1908
Earlier work this paper cites.
The pricing of options and corporate liabilities
F. Black and M. Scholes · 1973
Earlier work this paper cites.
Theory of rational option pricing
R. C. Merton et al · 1973
Earlier work this paper cites.
The valuation of options for alternative stochastic processes
J. C. Cox and S. A. Ross · 1976
Earlier work this paper cites.
Handbook of stochastic methods
C. W. Gardiner et al · 1985
Earlier work this paper cites.
Approximation of dynamical systems by continuous time recurrent neural networks
K.-i. Funahashi and Y. Nakamura · 1993
Earlier work this paper cites.
Smoothed functional principal components analysis by choice of norm
B. W. Silverman et al · 1996
Earlier work this paper cites.
Differential equations driven by rough signals
T. J. Lyons · 1998
Earlier work this paper cites.
High-dimensional data analysis: The curses and blessings of dimensionality
D. L. Donoho et al · 2000
Earlier work this paper cites.
Free lie algebras
C. Reutenauer · 2003
Earlier work this paper cites.
Differential Equation driven by Rough Paths
T. Lyons, T. L e ´ \acute{e} vy, and M. Caruana · 2006
Earlier work this paper cites.
Parameter estimation in stochastic differential equations
J. P. Bishwal · 2007
Earlier work this paper cites.
Multidimensional Stochastic Processes as Rough Paths: Theory and Applications
P. Friz and N. Victoir · 2010
Earlier work this paper cites.
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B. Hambly and T. Lyons · 2010
Earlier work this paper cites.
Functional data analysis for volatility
H.-G. Müller, R. Sen, and U. Stadtmüller · 2011
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A. Papavasiliou, C. Ladroue, et al · 2011
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S. Escalera, J. Gonzàlez, X. Baró, M. Reyes, O. Lopes, I. Guyon, V. Athitsos, and H. J. Escalante · 2013
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