243 search results - page 3 / 49 » Learning Classifiers from Distributed, Ontology-Extended Dat... |
WWW
2008
ACM
14 years 7 months ago
2008
ACM
As the World Wide Web in China grows rapidly, mining knowledge in Chinese Web pages becomes more and more important. Mining Web information usually relies on the machine learning ...
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
CORR
2011
Springer
12 years 10 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...