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135
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IJPRAI
2000
108views more  IJPRAI 2000»
15 years 2 months ago
Knowledge Base Reformation: Preparing First-Order Theories for Efficient Propositional Reasoning
We present an approach to knowledge compilation that transforms a function-free first-order Horn knowledge base to propositional logic. This form of compilation is important since...
Helmut Prendinger, Mitsuru Ishizuka, Gerhard Schur...
SAC
2009
ACM
15 years 7 months ago
An ontology-based application in heart electrophysiology: representation, reasoning and visualization on the web
Computational technologies have been increasingly explored to make biomedical knowledge and data more accessible for human understanding, comparison, analysis and communication. I...
Bernardo Gonçalves, Veruska Zamborlini, Gia...
120
Voted
IDEAL
2005
Springer
15 years 8 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
128
Voted
ICML
2007
IEEE
16 years 3 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
136
Voted
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 9 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...