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» Formalization of Continuous Probability Distributions
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ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 6 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ATAL
2009
Springer
15 years 6 months ago
Planning with continuous resources for agent teams
Many problems of multiagent planning under uncertainty require distributed reasoning with continuous resources and resource limits. Decentralized Markov Decision Problems (Dec-MDP...
Janusz Marecki, Milind Tambe
HICSS
2005
IEEE
173views Biometrics» more  HICSS 2005»
15 years 5 months ago
Implementing Rule-Based Monitors within a Framework for Continuous Requirements Monitoring
With the increasing complexity of information systems, it is becoming increasingly unclear as to how information system behaviors relate to stated requirements. Although requireme...
William N. Robinson
NIPS
2007
15 years 1 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
EOR
2008
97views more  EOR 2008»
14 years 11 months ago
Decision making with hybrid influence diagrams using mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy