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ARTMED
2004
74views more  ARTMED 2004»
15 years 6 months ago
Latent variable discovery in classification models
The naive Bayes model makes the often unrealistic assumption that the feature variables are mutually independent given the class variable. We interpret a violation of this assumpt...
Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verne...
ACL
2009
15 years 4 months ago
A global model for joint lemmatization and part-of-speech prediction
We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
Kristina Toutanova, Colin Cherry
EOR
2011
131views more  EOR 2011»
14 years 10 months ago
Personnel scheduling: Models and complexity
Due to its complexity, its challenging features, and its practical relevance, personnel scheduling has been heavily investigated in the last few decades. However, there is a relati...
Peter Brucker, Rong Qu, Edmund K. Burke
IBPRIA
2003
Springer
15 years 12 months ago
Tracking Heads Using Piecewise Planar Models
We present a procedure for tracking a rigid object based on a piecewise planar model, and show how it can be used to track a human face. The tracking is performed using a single in...
José Miguel Buenaposada, Enrique Muñ...
163
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CDC
2009
IEEE
140views Control Systems» more  CDC 2009»
15 years 11 months ago
Model reduction, optimal prediction, and the Mori-Zwanzig representation of Markov chains
— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...