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NAACL
2003
15 years 8 months ago
Semantic Language Models for Topic Detection and Tracking
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Ramesh Nallapati
ANOR
2007
81views more  ANOR 2007»
15 years 6 months ago
A conditional-SGT-VaR approach with alternative GARCH models
This paper proposes a conditional technique for the estimation of VaR and expected shortfall measures based on the skewed generalized t (SGT) distribution. The estimation of the co...
Turan G. Bali, Panayiotis Theodossiou
CSDA
2006
94views more  CSDA 2006»
15 years 6 months ago
The nature of sensitivity in monotone missing not at random models
Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
IJON
2002
65views more  IJON 2002»
15 years 6 months ago
A general framework for neurobiological modeling: an application to the vestibular system
The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravi...
Chris Eliasmith, M. Brandon Westover, Charles H. A...
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen