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» Hidden Markov Models with Multiple Observation Processes
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PADS
2005
ACM
14 years 29 days ago
Concurrent Replication of Parallel and Distributed Simulations
Parallel and distributed simulations enable the analysis of complex systems by concurrently exploiting the aggregate computation power and memory of clusters of execution units. I...
Luciano Bononi, Michele Bracuto, Gabriele D'Angelo...
APWEB
2005
Springer
14 years 29 days ago
Collaborative Web Application for Flood Control System of Reservoirs
Flood control for reservoirs require operations in a dynamic and cooperative manner in order to respond to the changing flood control conditions. There is an increasing emphasis on...
Chuntian Cheng, Kwok-wing Chau, Gang Li, Xiang-Yan...
CIARP
2003
Springer
14 years 19 days ago
Robust Estimation of Roughness Parameter in SAR Amplitude Images
The precise knowledge of the statistical properties of synthetic aperture radar (SAR) data plays a central role in image processing and understanding. These properties can be used ...
Héctor Allende, Luis Pizarro
IOR
2010
99views more  IOR 2010»
13 years 5 months ago
Dynamic Pricing with a Prior on Market Response
We study a problem of dynamic pricing faced by a vendor with limited inventory, uncertain about demand, aiming to maximize expected discounted revenue over an infinite time horiz...
Vivek F. Farias, Benjamin Van Roy
IJRR
2011
218views more  IJRR 2011»
13 years 2 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...