4660 search results - page 112 / 932 » Learning from imperfect data |
ASUNAM
2010
IEEE
13 years 11 months ago
2010
IEEE
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
ALT
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
IJCAI
2003
13 years 11 months ago
2003
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
AGENTS
1998
Springer
14 years 2 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
KDD
1998
ACM
14 years 2 months ago
1998
ACM
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...