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» The Nature Of Near-Synonymic Relations
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ICML
2003
IEEE
16 years 2 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
MIDDLEWARE
2007
Springer
15 years 7 months ago
Rule-based reasoning about qualitative spatiotemporal relations
This paper is about a novel rule-based approach for reasoning about qualitative spatiotemporal relations among technology-rich autonomous objects, to which we refer to as artifact...
Clemens Holzmann
ILP
2003
Springer
15 years 6 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
AAAI
2007
15 years 3 months ago
Generality and Equivalence Relations in Default Logic
Generality or refinement relations between different theories have important applications to generalization in inductive logic programming, refinement of ontologies, and coordin...
Katsumi Inoue, Chiaki Sakama
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 1 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth