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TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ANSS
2007
IEEE
16 years 27 days ago
Failure Prediction in Computational Grids
Accurate failure prediction in Grids is critical for reasoning about QoS guarantees such as job completion time and availability. Statistical methods can be used but they suffer f...
Woochul Kang, Andrew S. Grimshaw
ACL
2008
15 years 8 months ago
Recent Improvements in the CMU Large Scale Chinese-English SMT System
In this paper we describe recent improvements to components and methods used in our statistical machine translation system for ChineseEnglish used in the January 2008 GALE evaluat...
Almut Silja Hildebrand, Kay Rottmann, Mohamed Noam...
ISI
2008
Springer
15 years 6 months ago
A locality model of the evolution of blog networks
We present a model of evolution of large social networks. Our model is based on the local nature of communication: a node's communication energy is spend mostly within it'...
Mark K. Goldberg, Malik Magdon-Ismail, Stephen Kel...
IJAR
2010
106views more  IJAR 2010»
15 years 5 months ago
A minimum distance estimator in an imprecise probability model - Computational aspects and applications
The present article considers estimating a parameter θ in an imprecise probability model (Pθ)θ∈Θ which consists of coherent upper previsions Pθ . After the definition of a...
Robert Hable