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» Language Modeling for Determiner Selection
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146
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AAAI
2004
15 years 5 months ago
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
112
Voted
ICRA
1994
IEEE
110views Robotics» more  ICRA 1994»
15 years 7 months ago
Modeling and Parameter Estimation of the Human Index Finger
Precise teleoperation of deztrous robotic hands by hand masters requires an accurate human hand model. A kinematic model of a human index finger is developed as an example for hum...
Robert Rohling, John M. Hollerbach
126
Voted
ACL
1998
15 years 5 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
121
Voted
COGSCI
2008
139views more  COGSCI 2008»
15 years 3 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
WSC
1998
15 years 4 months ago
Belief Networks in Construction Simulation
A method for automatically improving the performance of construction operations was developed by the integration of computer simulation and belief networks. The simulation model i...
Brenda McCabe