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CP
2006
Springer
15 years 10 months ago
Global Optimization of Probabilistically Constrained Linear Programs
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
Shabbir Ahmed
ICPR
2010
IEEE
15 years 10 months ago
Probabilistic Clustering Using the Baum-Eagon Inequality
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
Samuel Rota Bulo', Marcello Pelillo
ECCV
2010
Springer
15 years 8 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
FLAIRS
2008
15 years 8 months ago
A New Approach to Model-Based Diagnosis Using Probabilistic Logic
We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...
Nikita A. Sakhanenko, Roshan Rammohan, George F. L...
ACL
2008
15 years 8 months ago
A Probabilistic Model for Fine-Grained Expert Search
Expert search, in which given a query a ranked list of experts instead of documents is returned, has been intensively studied recently due to its importance in facilitating the ne...
Shenghua Bao, Huizhong Duan, Qi Zhou, Miao Xiong, ...