13 search results - page 2 / 3 » Learnable Similarity Functions and their Applications to Clu... |
PVLDB
2010
13 years 4 months ago
2010
Many data-management applications require integrating data from a variety of sources, where different sources may refer to the same real-world entity in different ways and some ma...
ICALP
2009
Springer
14 years 6 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
PODS
2008
ACM
14 years 6 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
JPDC
2008
13 years 6 months ago
2008
This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...