4930 search results - page 36 / 986 » Learning minimal abstractions |
118
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
ECML
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
150
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ALT
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
101
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
103
Voted
JSAC
2010
14 years 11 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...