228 search results - page 13 / 46 » Ensemble Learning Based on Multi-Task Class Labels |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
COLT
2005
Springer
14 years 27 days 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...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
AAAI
1998
13 years 8 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
INFORMS
2007
13 years 7 months ago
2007
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...