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ICML
2003
IEEE
16 years 7 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»
16 years 7 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
AIPS
2007
15 years 8 months 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
LREC
2008
124views Education» more  LREC 2008»
15 years 7 months ago
Clustering Related Terms with Definitions
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
Scott Songlin Piao, John McNaught, Sophia Ananiado...
AAAI
2012
13 years 8 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld