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127
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CVPR
2000
IEEE
16 years 5 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
139
Voted
ANOR
2010
125views more  ANOR 2010»
15 years 3 months ago
A Bayesian approach for the alignment of high-resolution NMR spectra
: The rapid progresses in human genome project and biotechnologies result in the sheer volume of datasets associated with in-depth scientific knowledge. Metabolomics is defined as ...
Seoung Bum Kim, Zhou Wang, Basavaraj Hiremath
122
Voted
MASCOTS
2007
15 years 5 months ago
Network Performance Analysis based on Histogram Workload Models
Network performance analysis relies mainly on two models: a workload model and a performance model. This paper proposes to use histograms for characterising the arrival workloads ...
Enrique Hernández-Orallo, Joan Vila-Carb&oa...
123
Voted
ICAIL
2003
ACM
15 years 9 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley
112
Voted
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 3 months ago
Building Better Nurse Scheduling Algorithms
The aim of this research is twofold: Firstly, to model and solve a complex nurse scheduling problem with an integer programming formulation and evolutionary algorithms. Secondly, ...
Uwe Aickelin, Paul White