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127
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WSC
2007
15 years 5 months ago
American option pricing under stochastic volatility: a simulation-based approach
We consider the problem of pricing American options when the volatility of the underlying asset price is stochastic. No specific stochastic volatility model is assumed for the st...
Arunachalam Chockalingam, Kumar Muthuraman
176
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CVPR
2012
IEEE
13 years 6 months ago
Robust visual domain adaptation with low-rank reconstruction
Visual domain adaptation addresses the problem of adapting the sample distribution of the source domain to the target domain, where the recognition task is intended but the data d...
I-Hong Jhuo, Dong Liu, D. T. Lee, Shih-Fu Chang
144
Voted
JMLR
2010
206views more  JMLR 2010»
14 years 10 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
129
Voted
SAC
2003
ACM
15 years 8 months ago
Automatic Code Generation for a Convection Scheme
Traditional design and implementation of large atmospheric models is a difficult, tedious and error prone task. With the CTADEL project we investigate a new method of code genera...
Paul van der Mark, Lex Wolters, Gerard Cats
116
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NIPS
2008
15 years 5 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...