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KCAP
2011
ACM
12 years 12 months ago
2011
ACM
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
ECML
2001
Springer
14 years 1 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
Traditionally artistic color concepts play an important role in the analysis of artworks, and provide valuable domain knowledge to guide the analysis and accurate retrieval of pai...
EUROGP
2004
Springer
14 years 2 months ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
ICPR
2000
IEEE
14 years 10 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...