199 search results - page 4 / 40 » A general agnostic active learning algorithm |
PKDD
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
PKDD
2009
Springer
14 years 23 days ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
KDD
2009
ACM
14 years 1 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...
SIGMOD
2010
ACM
13 years 11 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...