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» Modelling Agents as Observable Sources
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CIMCA
2005
IEEE
14 years 3 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICC
2008
IEEE
115views Communications» more  ICC 2008»
14 years 4 months ago
Joint Power Scheduling and Estimator Design for Sensor Networks Across Parallel Channels
—This paper addresses the joint estimator and power optimization problem for a sensor network whose mission is to estimate an unknown parameter. We assume a two-hop network where...
Lauren M. Huie, Xiang He, Aylin Yener
ICML
2008
IEEE
14 years 10 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
RULEML
2005
Springer
14 years 3 months ago
A Semantic Web Framework for Interleaving Policy Reasoning and External Service Discovery
Enforcing rich policies in open environments will increasingly require the ability to dynamically identify external sources of information necessary to enforce different policies (...
Jinghai Rao, Norman M. Sadeh
STOC
2003
ACM
137views Algorithms» more  STOC 2003»
14 years 10 months ago
Near-optimal network design with selfish agents
We introduce a simple network design game that models how independent selfish agents can build or maintain a large network. In our game every agent has a specific connectivity requ...
Elliot Anshelevich, Anirban Dasgupta, Éva T...