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FLAIRS
2004
13 years 11 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
FOIS
2006
13 years 11 months ago
Against Idiosyncrasy in Ontology Development
The world of ontology development is full of mysteries. Recently, ISO Standard 15926 ("Lifecycle Integration of Process Plant Data Including Oil and Gas Production Facilities&...
Barry Smith
NIPS
2003
13 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
AAAI
1998
13 years 11 months ago
Generating Coordinated Natural Language and 3D Animations for Complex Spatial Explanations
Dynamically providing students with clear explanations of complex spatial concepts is critical for a broad range of knowledge-based educational and training systems. This calls fo...
Stuart G. Towns, Charles B. Callaway, James C. Les...
WM
2003
13 years 11 months ago
Knowledge discovery methods
: Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
Stefan Smolnik
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