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ACL
2003
13 years 8 months ago
Parametric Models of Linguistic Count Data
It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simpl...
Martin Jansche
MA
2010
Springer
143views Communications» more  MA 2010»
13 years 5 months ago
The pairwise beta distribution: A flexible parametric multivariate model for extremes
We present a new parametric model for the angular measure of a multivariate extreme value distribution. Unlike many parametric models that are limited to the bivariate case, the ...
Daniel Cooley, Richard A. Davis, Philippe Naveau
CPM
2005
Springer
125views Combinatorics» more  CPM 2005»
13 years 9 months ago
Parametric Analysis for Ungapped Markov Models of Evolution
We present efficient sensitivity-analysis algorithms for two problems involving Markov models of sequence evolution: ancestral reconstruction in evolutionary trees and local ungap...
David Fernández-Baca, Balaji Venkatachalam
AAAI
2008
13 years 9 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
13 years 2 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor