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NIPS
2001
15 years 2 months ago
Boosting and Maximum Likelihood for Exponential Models
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Guy Lebanon, John D. Lafferty
CAV
2010
Springer
185views Hardware» more  CAV 2010»
15 years 28 days ago
Achieving Distributed Control through Model Checking
Abstract. We apply model checking of knowledge properties to the design of distributed controllers that enforce global constraints on concurrent systems. We calculate when processe...
Susanne Graf, Doron Peled, Sophie Quinton
91
Voted
ICDE
2010
IEEE
195views Database» more  ICDE 2010»
15 years 28 days ago
Statistics-driven workload modeling for the Cloud
— A recent trend for data-intensive computations is to use pay-as-you-go execution environments that scale transparently to the user. However, providers of such environments must...
Archana Ganapathi, Yanpei Chen, Armando Fox, Randy...
CSDA
2010
208views more  CSDA 2010»
15 years 25 days ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
JMLR
2008
141views more  JMLR 2008»
15 years 21 days ago
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
Mathias Drton, Thomas S. Richardson