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» Decision Making Using Probabilistic Inference Methods
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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 2 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
AAAI
2004
15 years 3 months ago
High-Level Goal Recognition in a Wireless LAN
Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recogni...
Jie Yin, Xiaoyong Chai, Qiang Yang
151
Voted
AIPS
2009
15 years 3 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
WSC
1997
15 years 3 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick
ICMI
2009
Springer
132views Biometrics» more  ICMI 2009»
15 years 8 months ago
Activity-aware ECG-based patient authentication for remote health monitoring
Mobile medical sensors promise to provide an efficient, accurate, and economic way to monitor patients’ health outside the hospital. Patient authentication is a necessary secur...
Janani C. Sriram, Minho Shin, Tanzeem Choudhury, D...