2566 search results - page 13 / 514 » Relating reinforcement learning performance to classificatio... |
EMNLP
2010
14 years 9 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
KDD
2004
ACM
16 years 2 days ago
2004
ACM
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
NECO
2007
14 years 11 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 ...
FLAIRS
1998
15 years 1 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...