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» High Performance Reasoning with Very Large Knowledge Bases
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ISIPTA
1999
IEEE
116views Mathematics» more  ISIPTA 1999»
15 years 1 months ago
On the Distribution of Natural Probability Functions
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...
Jeff B. Paris, Paul N. Watton, George M. Wilmers
86
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
IROS
2007
IEEE
197views Robotics» more  IROS 2007»
15 years 4 months ago
Generic and systematic evaluation of haptic interfaces based on testbeds
— The purpose of evaluation procedures is to achieve both qualitative and quantitative statements on haptic rendering realism and performance. Since a haptic interface provides a...
Evren Samur, Fei Wang, Ulrich Spaelter, Hannes Ble...
101
Voted
KR
2010
Springer
15 years 2 months ago
Worst-Case Optimal Reasoning for the Horn-DL Fragments of OWL 1 and 2
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...
Magdalena Ortiz, Sebastian Rudolph, Mantas Simkus
WISE
2005
Springer
15 years 3 months ago
OWLIM - A Pragmatic Semantic Repository for OWL
OWLIM is a high-performance Storage and Inference Layer (SAIL) for Sesame, which performs OWL DLP reasoning, based on forward-chaining of entilement rules. The reasoning and query ...
Atanas Kiryakov, Damyan Ognyanov, Dimitar Manov