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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...
ICML
2005
IEEE
16 years 4 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ICML
2005
IEEE
16 years 4 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
ICADL
2003
Springer
92views Education» more  ICADL 2003»
15 years 8 months ago
Improving Automatic Labelling through RDF Management
Building a shared and widely accessible repository, in order for scientists and end users to exploit it easily, results in tackling a variety of issues. Among others, the need for ...
Floriana Esposito, Stefano Ferilli, Nicola Di Maur...
ECML
2006
Springer
15 years 7 months ago
EM Algorithm for Symmetric Causal Independence Models
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
Rasa Jurgelenaite, Tom Heskes