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IJCAI
2007
15 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
WSCG
2003
144views more  WSCG 2003»
15 years 9 months ago
Progressive Transmission of Polyhedral Solids Using a Hierarchical Representation Scheme
In the last years several 3D model compression methods for multiresolution applications have been presented, most of them using 3D meshes. Octrees are a natural multiresolution re...
Pedro Cano, Juan Carlos Torres, Francisco Velasco
ANOR
2007
165views more  ANOR 2007»
15 years 7 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
CN
2006
145views more  CN 2006»
15 years 7 months ago
Understanding optimal data gathering in the energy and latency domains of a wireless sensor network
The problem of optimal data gathering in wireless sensor networks (WSNs) is addressed by means of optimization techniques. The goal of this work is to lay the foundations to devel...
Ugo Monaco, Francesca Cuomo, Tommaso Melodia, Fabi...
ICIP
2010
IEEE
15 years 5 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury