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ILP
2007
Springer
14 years 1 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
HICSS
2009
IEEE
117views Biometrics» more  HICSS 2009»
14 years 2 months ago
Issues Related to Development of E/E Product Line Architectures in Heavy Vehicles
The amount of electronics in vehicles is growing quickly, thus systems are becoming increasingly complex which makes the engineering of these software intensive systems more and m...
Peter Wallin, Stefan Johnsson, Jakob Axelsson
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 2 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
COCO
1994
Springer
100views Algorithms» more  COCO 1994»
13 years 11 months ago
Relative to a Random Oracle, NP is Not Small
Resource-bounded measure as originated by Lutz is an extension of classical measure theory which provides a probabilistic means of describing the relative sizes of complexity clas...
Steven M. Kautz, Peter Bro Miltersen
DEBS
2008
ACM
13 years 9 months ago
Relative temporal constraints in the Rete algorithm for complex event detection
Complex Event Processing is an important technology for information systems with a broad application space ranging from supply chain management, systems monitoring, and stock mark...
Karen Walzer, Tino Breddin, Matthias Groch