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NIPS
2000
15 years 7 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
UAI
1998
15 years 7 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
IJCAI
1997
15 years 7 months ago
Active Mobile Robot Localization
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Wolfram Burgard, Dieter Fox, Sebastian Thrun
NIPS
1996
15 years 7 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
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EACL
1989
ACL Anthology
15 years 7 months ago
The Syntactic Regularity Of English Noun Phrases
Approximately, 10,000 naturally occurring noun phrases taken from the LOB corpus were used firstly, to evaluate the NP component of the Alvey ANLT grammar (Grover et al., 1987, 19...
Lita Taylor, Claire Grover, Ted Briscoe