CORR
2006
Springer
13 years 4 months ago
2006
Springer
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
ATAL
2006
Springer
13 years 8 months ago
2006
Springer
We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation ...
PPSN
1998
Springer
13 years 8 months ago
1998
Springer
We present a novel approach to concept learning in which a coevolutionary genetic algorithm is applied to the construction of an immune system whose antibodies can discriminate bet...
ICCV
2003
IEEE
13 years 9 months ago
2003
IEEE
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
JCDL
2004
ACM
13 years 10 months ago
2004
ACM
This paper describes ongoing research into the application of machine learning techniques for improving access to governmental information in complex digital libraries. Under the ...
UIST
2009
ACM
13 years 11 months ago
2009
ACM
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...
ALT
2001
Springer
14 years 1 months ago
2001
Springer
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...