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» Approximate Reasoning about Combined Knowledge
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ICCBR
2003
Springer
14 years 3 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
VLDB
2005
ACM
93views Database» more  VLDB 2005»
14 years 3 months ago
Indexing Mixed Types for Approximate Retrieval
In various applications such as data cleansing, being able to retrieve categorical or numerical attributes based on notions of approximate match (e.g., edit distance, numerical di...
Liang Jin, Nick Koudas, Chen Li, Anthony K. H. Tun...
MICCAI
2008
Springer
14 years 11 months ago
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
This paper presents an interactive system for the annotation of brain anatomical structures in Magnetic Resonance Images. The system is based on hybrid knowledge and techniques. Fi...
Ammar Mechouche, Xavier Morandi, Christine Golbr...
ATAL
2005
Springer
14 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
AI
2010
Springer
13 years 10 months ago
Updating action domain descriptions
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
Thomas Eiter, Esra Erdem, Michael Fink, Ján...