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» An Efficient Algorithm for Local Distance Metric Learning
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ICML
2005
IEEE
15 years 10 months ago
A new Mallows distance based metric for comparing clusterings
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
Ding Zhou, Jia Li, Hongyuan Zha
ATAL
2011
Springer
13 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
PCM
2010
Springer
204views Multimedia» more  PCM 2010»
14 years 8 months ago
Learning Contextual Metrics for Automatic Image Annotation
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
Zuotao Liu, Xiangdong Zhou, Yu Xiang, Yan-Tao Zhen...
WCRE
1999
IEEE
15 years 1 months ago
MoJo: A Distance Metric for Software Clusterings
The software clustering problem has attracted much attention recently, since it is an integral part of the process of reverse engineering large software systems. A key problem in ...
Vassilios Tzerpos, Richard C. Holt
93
Voted
TACAS
2004
Springer
139views Algorithms» more  TACAS 2004»
15 years 2 months ago
Error Explanation with Distance Metrics
Abstract In the event that a system does not satisfy a specification, a model checker will typically automatically produce a counterexample trace that shows a particular instance ...
Alex Groce