45 search results - page 6 / 9 » Machine learning for online query relaxation |
ALT
2006
Springer
14 years 4 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
COLT
1992
Springer
13 years 12 months ago
1992
Springer
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
CIDR
2009
13 years 8 months ago
2009
Collaborative web applications such as Facebook, Flickr and Yelp present new challenges for storing and querying large amounts of data. As users and developers are focused more on...
NECO
2000
13 years 7 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...