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» Time-Bounded Sequential Parameter Optimization
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JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
INTERSPEECH
2010
13 years 2 months ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng
ATAL
2004
Springer
14 years 24 days ago
A Study of Limited-Precision, Incremental Elicitation in Auctions
We investigate the design of iterative, limited-precision mechanisms for single-good auctions with dominant strategy equilibria. Our aim is to design mechanisms that minimize the ...
Alexander Kress, Craig Boutilier
NIPS
2004
13 years 8 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
IJCV
2007
120views more  IJCV 2007»
13 years 7 months ago
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
This paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians from a moving vehicle. The detection component involves a cascade of modules, ...
Dariu M. Gavrila, Stefan Munder