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» Introduction to Randomized Algorithms
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NIPS
2003
15 years 6 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
UAI
2003
15 years 6 months ago
On Triangulating Dynamic Graphical Models
This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
Jeff A. Bilmes, Chris Bartels
UAI
2003
15 years 6 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
185
Voted
ICIP
2007
IEEE
15 years 5 months ago
Statistical Multiscale Image Segmentation via Alpha-Stable Modeling
This paper presents a new statistical image segmentation algorithm, in which the texture features are modeled by Symmetric Alpha-Stable (SαS) distributions. These features are ef...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
130
Voted
CORR
2006
Springer
90views Education» more  CORR 2006»
15 years 5 months ago
Path-independent load balancing with unreliable machines
We consider algorithms for load balancing on unreliable machines. The objective is to optimize the two criteria of minimizing the makespan and minimizing job reassignments in resp...
James Aspnes, Yang Richard Yang, Yitong Yin