1421 search results - page 169 / 285 » Resampling methods for input modeling |
131
Voted
ISSS
2002
IEEE
15 years 8 months ago
2002
IEEE
This paper proposes a simulation-based methodology for validation of a system under design in an early phase of development. The key element of this approach is the visual speciï¬...
138
Voted
ICANN
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
166
Voted
WSC
2004
15 years 5 months ago
2004
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
154
Voted
VMV
2003
15 years 5 months ago
2003
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
128
Voted
WSC
1997
15 years 5 months ago
1997
Descriptive Sampling (DS), a Monte Carlo sampling technique based on a deterministic selection of the input values and their random permutation, represents a deep conceptual chang...