695 search results - page 6 / 139 » Efficient Algorithms for General Active Learning |
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...
SIGMOD
2010
ACM
14 years 12 days 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 ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
CIKM
2008
Springer
13 years 9 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...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...