396 search results - page 12 / 80 » Lossy Reduction for Very High Dimensional Data |
100
click to vote
DEXAW
2007
IEEE
15 years 1 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
PAKDD
2010
ACM
14 years 7 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
NIPS
2001
14 years 10 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...
81
Voted
IRI
2007
IEEE
15 years 3 months ago
2007
IEEE
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
84
Voted
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...