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IDA
2009
Springer
15 years 4 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
IAT
2010
IEEE
15 years 4 months ago
Collaborative Learning of Ontology Fragments by Co-operating Agents
Abstract--Collaborating agents require either prior agreement on the shared vocabularies that they use for communication, or some means of translating between their private ontolog...
Heather S. Packer, Nicholas Gibbins, Nicholas R. J...
JMLR
2010
143views more  JMLR 2010»
15 years 1 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ACCV
2010
Springer
15 years 1 months ago
Learning Rare Behaviours
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao...
ESOP
2011
Springer
14 years 10 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...