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PODS
2007
ACM
14 years 7 months ago
2007
ACM
In [3], we introduced a framework for querying and updating probabilistic information over unordered labeled trees, the probabilistic tree model. The data model is based on trees ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
CRV
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
am analysis and has been widely studied. In this paper we consider this problem at the abstraction level of program schemas in which computations occur in the Herbrand domain of te...
BIBM
2010
IEEE
13 years 4 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...