10 search results - page 2 / 2 » Exceeding expectations and clustering uncertain data |
COLT
2003
Springer
13 years 10 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ...
SIGMOD
2008
ACM
14 years 5 months ago
2008
ACM
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
IOR
2010
13 years 3 months ago
2010
We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horiz...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
ISAAC
2009
Springer
13 years 12 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...