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ICML
2003
IEEE
14 years 8 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
FMCO
2005
Springer
156views Formal Methods» more  FMCO 2005»
14 years 28 days ago
On a Probabilistic Chemical Abstract Machine and the Expressiveness of Linda Languages
babilistic Chemical Abstract Machine and the Expressiveness of Linda Languages Alessandra Di Pierro1 , Chris Hankin2 , and Herbert Wiklicky2 1 Dipartimento di Informatica, Universi...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
CVPR
2004
IEEE
13 years 11 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
NIPS
2004
13 years 8 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
AAAI
1996
13 years 8 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...