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ICML
2003
IEEE
14 years 9 months ago
Relational Instance Based Regression for Relational Reinforcement Learning
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
Kurt Driessens, Jan Ramon
MICCAI
2009
Springer
14 years 5 months ago
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts
Abstract. Graph Cuts have been shown as a powerful interactive segmentation technique in several medical domains. We propose to automate the Graph Cuts in order to automatically se...
Daniel García-Lorenzo, Jérémy...
HPCC
2005
Springer
14 years 1 months ago
High Performance Subgraph Mining in Molecular Compounds
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
Giuseppe Di Fatta, Michael R. Berthold
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
ICALP
2000
Springer
13 years 11 months ago
A Matrix-based Method for Analysing Stochastic Process Algebras
This paper demonstrates how three stochastic process algebras can be mapped on to a generally-distributed stochastic transition system. We demonstrate an aggregation technique on ...
Jeremy T. Bradley, N. J. Davies