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Abstract.
We describe a new data-mining platform, CDMS, aimed at the streamlined
development, comparison and application of machine learning tools. We
discuss its type system, focussing on the treatment of statistical models
as first-class values.
This allows rapid construction of composite models - complex models built
from simpler ones - such as mixture models, Bayesian networks and
decision trees. We illustrate this with a flexible decision tree tool for CDMS
which rather than being limited to discrete target attributes, can model
any kind of data using arbitrary probability distributions.
[preprint.pdf],
[springer][12/'03].
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