2512 search results - page 140 / 503 » Learning from Highly Structured Data by Decomposition |
PPSN
2004
Springer
15 years 3 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
DBSEC
2000
14 years 11 months ago
2000
Privacy refers to controlling the dissemination and use of personal data, including information that is knowingly disclosed, as well as data that are unintentionally revealed as a ...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
WAIM
2009
Springer
15 years 2 months ago
2009
Springer
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
ALT
2003
Springer
15 years 1 months ago
2003
Springer
Due to the rapid growth of tree structured data such as Web documents, efficient learning from tree structured data becomes more and more important. In order to represent structura...