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» LEO - DB2's LEarning Optimizer
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TNN
2008
93views more  TNN 2008»
15 years 4 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
TSP
2010
14 years 11 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
15 years 11 months ago
Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Sit
Given the limitation of hearing and understanding speech for many individuals, we plan to supplement the sound of speech and speechreading with an additional informative visual in...
Dominic W. Massaro, Miguel Á. Carreira-Perp...
ICPR
2008
IEEE
15 years 11 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah