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» MIP reformulations of the probabilistic set covering problem
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CJ
2008
97views more  CJ 2008»
13 years 7 months ago
Three Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...
Ray J. Solomonoff
EOR
2010
88views more  EOR 2010»
13 years 7 months ago
Mathematical programming approaches for generating p-efficient points
Abstract: Probabilistically constrained problems, in which the random variables are finitely distributed, are nonconvex in general and hard to solve. The p-efficiency concept has b...
Miguel A. Lejeune, Nilay Noyan
SIGIR
2012
ACM
11 years 9 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
CPAIOR
2005
Springer
14 years 28 days ago
Constraint Programming Based Column Generation for Employee Timetabling
The Employee Timetabling Problem (ETP) is a general class of problems widely encountered in service organizations (such as call centers for instance). Given a set of activities, a ...
Sophie Demassey, Gilles Pesant, Louis-Martin Rouss...
NIPS
2000
13 years 8 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng