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TSP
2010
15 years 1 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
HICSS
2003
IEEE
131views Biometrics» more  HICSS 2003»
15 years 12 months ago
An ERP Maintenance Model
Enterprise resource planning (ERP) maintenance and upgrade activities are receiving much attention in ERP-using organizations. Annual maintenance costs approximate 25% of initial ...
Celeste See Pui Ng, Guy G. Gable, Taizan Chan
CSL
2004
Springer
15 years 6 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
JMLR
2012
13 years 9 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
EVOW
2012
Springer
14 years 2 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...