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ICML
2010
IEEE
15 years 4 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
TIP
2008
126views more  TIP 2008»
15 years 2 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
JIRS
2007
108views more  JIRS 2007»
15 years 2 months ago
GODZILA: A Low-resource Algorithm for Path Planning in Unknown Environments
— In this paper, we propose a novel path-planning and obstacle avoidance algorithm GODZILA for navigation in unknown environments. No prior knowledge of the environment is requir...
Prashanth Krishnamurthy, Farshad Khorrami
142
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INFOCOM
2005
IEEE
15 years 8 months ago
BARD: Bayesian-assisted resource discovery in sensor networks
Data dissemination in sensor networks requires four components: resource discovery, route establishment, packet forwarding, and route maintenance. Resource discovery can be the mos...
Fred Stann, John S. Heidemann
ICUMT
2009
15 years 21 days ago
A Bayesian analysis of Compressive Sensing data recovery in Wireless Sensor Networks
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
Riccardo Masiero, Giorgio Quer, Michele Rossi, Mic...