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» Statistical Models of Conditioning
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JMLR
2010
160views more  JMLR 2010»
14 years 4 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
AAAI
1996
14 years 11 months ago
First-Order Conditional Logic Revisited
Conditional logics play an important role in recent attempts to investigate default reasoning. This paper investigates firstorder conditional logic. We show that, as for first-ord...
Nir Friedman, Joseph Y. Halpern, Daphne Koller
ICCAD
2006
IEEE
93views Hardware» more  ICCAD 2006»
15 years 6 months ago
Precise identification of the worst-case voltage drop conditions in power grid verification
– Identifying worst-case voltage drop conditions in every module supplied by the power grid is a crucial problem in modern IC design. In this paper we develop a novel methodology...
Nestoras E. Evmorfopoulos, Dimitris P. Karampatzak...
TCOM
2010
108views more  TCOM 2010»
14 years 8 months ago
On the condition number distribution of complex wishart matrices
Abstract—This paper investigates the distribution of the condition number of complex Wishart matrices. Two closely related measures are considered: the standard condition number ...
Michail Matthaiou, Matthew R. McKay, Peter J. Smit...
CIDM
2009
IEEE
15 years 4 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...