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SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
14 years 4 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
ICCBR
2007
Springer
14 years 1 months ago
Label Ranking in Case-Based Reasoning
The problem of label ranking has recently been introduced as an extension of conventional classification in the field of machine learning. In this paper, we argue that label ran...
Klaus Brinker, Eyke Hüllermeier
SODA
1997
ACM
119views Algorithms» more  SODA 1997»
13 years 8 months ago
Map Labeling and Its Generalizations
Map labeling is of fundamental importance in cartography and geographical information systems and is one of the areas targeted for research by the ACM Computational Geometry Impac...
Srinivas Doddi, Madhav V. Marathe, Andy Mirzaian, ...
SPAA
2009
ACM
14 years 8 months ago
On randomized representations of graphs using short labels
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
Pierre Fraigniaud, Amos Korman
IJCAI
2007
13 years 8 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler