174 search results - page 5 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
AAAI
2007
14 years 4 days ago
2007
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
AUSAI
2008
Springer
13 years 11 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
AIMSA
2008
Springer
14 years 4 months ago
2008
Springer
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
PAMI
2006
13 years 9 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...