879 search results - page 47 / 176 » Forecasting high-dimensional data |
ICMLA
2008
14 years 11 months ago
2008
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
ICCS
2003
Springer
15 years 2 months ago
2003
Springer
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...