879 search results - page 2 / 176 » Forecasting high-dimensional data |
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
KAIS
2008
13 years 4 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
KDD
1998
ACM
13 years 9 months ago
1998
ACM
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
High dimensional data visualization is critical to data analysts since it gives a direct view of original data. We present a method to visualize large amount of high dimensional d...