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AI
2011
Springer
14 years 8 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
EMS
2009
IEEE
15 years 8 months ago
Modelling Periodic Data Dissemination in Wireless Sensor Networks
—Epidemic-based communications, or “gossiping”, provides a robust and scalable method for maintaining a knowledge base in a sensor network faced with an unpredictable network...
Graham Williamson, Davide Cellai, Simon A. Dobson,...
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Color Data Coding for Three-Dimensional Mesh Models Considering Connectivity and Geometry Information
In this paper, we propose a new predictive coding scheme for color data of three-dimensional (3-D) mesh models. We exploit connectivity and geometry information to improve coding ...
Young-Suk Yoon, Sung-Yeol Kim, Yo-Sung Ho
ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
15 years 7 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
ALT
2002
Springer
15 years 10 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt