226 search results - page 8 / 46 » How to learn a graph from smooth signals |
NIPS
2000
14 years 10 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we p...
KDD
2004
ACM
15 years 9 months ago
2004
ACM
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
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KDD
2009
ACM
15 years 2 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
BC
1998
14 years 9 months ago
1998
This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the ...