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NIPS
2004
13 years 11 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
BMVC
1998
13 years 11 months ago
Comparing Different Template Features for Recognizing People by their Gait
To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transforma...
Ping S. Huang, Chris J. Harris, Mark S. Nixon
UAI
2003
13 years 11 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
CCGRID
2010
IEEE
13 years 11 months ago
Virtual Resources Allocation for Workflow-Based Applications Distribution on a Cloud Infrastructure
Abstract--Cloud computing infrastructures are providing resources on demand for tackling the needs of large-scale distributed applications. Determining the amount of resources to a...
Tram Truong Huu, Johan Montagnat
HPDC
2008
IEEE
13 years 10 months ago
A two-level scheduler to dynamically schedule a stream of batch jobs in large-scale grids
This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large...
Marco Pasquali, Ranieri Baraglia, Gabriele Capanni...