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KDD
2002
ACM
14 years 8 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...