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» Learning qualitative models from numerical data
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AI
2011
Springer
12 years 12 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...
JAIR
2008
157views more  JAIR 2008»
13 years 4 months ago
Qualitative System Identification from Imperfect Data
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
George Macleod Coghill, Ashwin Srinivasan, Ross D....
JIRS
2007
116views more  JIRS 2007»
13 years 4 months ago
Recognition of Human Motion From Qualitative Normalised Templates
Abstract This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem. In contrast to other human motion classifica...
Chee Seng Chan, Honghai Liu, David J. Brown
TCS
2008
13 years 4 months ago
On temporal logic constraint solving for analyzing numerical data time series
Temporal logics and model-checking have proved successful to respectively express biological properties of complex biochemical systems, and automatically verify their satisfaction...
François Fages, Aurélien Rizk
CVPR
2008
IEEE
14 years 7 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji