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131
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JMLR
2010
152views more  JMLR 2010»
14 years 11 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
15 years 11 months ago
Generalized linear dynamic factor models - a structure theory
— In this paper we present a structure theory for generalized linear dynamic factor models (GDFM’s). Emphasis is laid on the so-called zeroless case. GDFM’s provide a way of ...
Brian D. O. Anderson, Manfred Deistler
134
Voted
AAAI
1990
15 years 5 months ago
The Generalized Theory of Model Preference
In this paper we present a purely semantic view on non-monotonic reasoning. We follow the direction pointed in [16] and claim that any non-monotonic logic can be viewed as a resul...
Piotr Rychlik
123
Voted
TAMC
2009
Springer
15 years 11 months ago
Behavioral and Logical Equivalence of Stochastic Kripke Models in General Measurable Spaces
We show that logical and behavioral equivalence for stochastic Kripke models over general measurable spaces are the same. Usually, this requires some topological assumptions and in...
Ernst-Erich Doberkat
ICIP
2006
IEEE
16 years 6 months ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick