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IDA
2006
Springer
15 years 3 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
JMLR
2008
104views more  JMLR 2008»
15 years 3 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
112
Voted
CE
2005
84views more  CE 2005»
15 years 3 months ago
Virtual collaborative learning environments for music: networked drumsteps
This paper focuses on technologies that enable meaningful, constructionist interaction in collaborative music environments. In particular, it describes the design and implementati...
Conor McCarthy, James Bligh, Kevin Jennings, Brend...
PAMI
2007
137views more  PAMI 2007»
15 years 2 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic
ICML
2006
IEEE
16 years 4 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...