750 search results - page 12 / 150 » Learning SVMs from Sloppily Labeled Data |
COLT
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
INFFUS
2008
13 years 7 months ago
2008
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
WEBI
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...