396 search results - page 1 / 80 » Modeling High-Dimensional Data by Combining Simple Experts |
AAAI
2000
13 years 6 months ago
2000
MMAS
2011
Springer
12 years 11 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
DIS
2006
Springer
13 years 8 months ago
2006
Springer
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
NIPS
2001
13 years 6 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
COMAD
2008
13 years 6 months ago
2008
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...