777 search results - page 100 / 156 » Learning dynamic algorithm portfolios |
126
Voted
EUROCAST
2007
Springer
15 years 8 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
125
Voted
NECO
2007
15 years 2 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
122
Voted
ATAL
2007
Springer
15 years 8 months ago
2007
Springer
In online, dynamic environments, the services requested by consumers may not be readily served by the providers. This requires the service consumers and providers to negotiate the...
126
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
115
Voted
ATAL
2010
Springer
15 years 3 months ago
2010
Springer
In this paper we study, for the first time explicitly, the implications of endowing an interested party (i.e. a teacher) with the ability to modify the underlying dynamics of the ...