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ICML
2003
IEEE
14 years 11 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ICDE
1995
IEEE
99views Database» more  ICDE 1995»
14 years 11 months ago
Record Subtyping in Flexible Relations by Means of Attribute Dependencies
The model of flexible relations supports heterogeneous sets of tuples in a strongly typed way. The elegance of the standard relational model is preserved by using a single, generi...
Christian Kalus, Peter Dadam
ICFCA
2007
Springer
14 years 2 months ago
A Proposal for Combining Formal Concept Analysis and Description Logics for Mining Relational Data
Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations ...
Mohamed Rouane Hacene, Marianne Huchard, Amedeo Na...
AAAI
2008
14 years 14 days ago
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Hoifung Poon, Pedro Domingos, Marc Sumner
AIPS
2007
14 years 13 days ago
Discovering Relational Domain Features for Probabilistic Planning
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
Jia-Hong Wu, Robert Givan