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» Brain-Like Approximate Reasoning
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95
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AAAI
2006
15 years 2 months ago
Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense
The use of large quantities of common sense has long been thought to be critical to the automated understanding of the world. To this end, various groups have collected repositori...
William Pentney, Ana-Maria Popescu, Shiaokai Wang,...
100
Voted
FLAIRS
2003
15 years 2 months ago
Spatially-Aware Information Retrieval with Graph-Based Qualitative Reference Models
Geo-referenced information is used by a growing number of “spatially-aware” tools in different application areas, including tourism, marketing, environmental management, and m...
Thomas Vögele, Christoph Schlieder
107
Voted
CISS
2008
IEEE
15 years 7 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
97
Voted
SWAP
2008
15 years 2 months ago
A Note on the Evaluation of Inductive Concept Classification Procedures
Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
104
Voted
IJCAI
2007
15 years 2 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...