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EMNLP
2010
13 years 8 months ago
A Latent Variable Model for Geographic Lexical Variation
The rapid growth of geotagged social media raises new computational possibilities for investigating geographic linguistic variation. In this paper, we present a multi-level genera...
Jacob Eisenstein, Brendan O'Connor, Noah A. Smith,...
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 8 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
TIT
1998
123views more  TIT 1998»
13 years 9 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu
ICML
2008
IEEE
14 years 10 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
EOR
2007
92views more  EOR 2007»
13 years 10 months ago
Modelling profitability using survival combination scores
The paper presents the first empirical investigation of the relationship between present value of net revenue from a revolving credit account and times to default and to second pu...
Galina Andreeva, Jake Ansell, Jonathan Crook