Back to Results
First PageMeta Content
Hidden Markov model / Speech recognition / Recursive Bayesian estimation / Markov chain / Relational model / Layered hidden Markov model / Hierarchical hidden Markov model / Markov models / Statistics / Probability and statistics


A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems Daniel Meyer-Delius1 , Christian Plagemann1 , Georg von Wichert2 , Wendelin Feiten2 , Gisbert Lawitzky2 , and Wolfram Burgard1
Add to Reading List

Document Date: 2007-11-05 10:05:53


Open Document

File Size: 199,68 KB

Share Result on Facebook

City

TORCS / /

Company

Oxford University Press / Cambridge University Press / MIT Press / /

/

Facility

University of Freiburg / /

IndustryTerm

online fashion / uncertain systems / online traffic analysis / natural language processing / faster car / reference car / adaptive web navigation / Artificial systems / /

Organization

Cambridge University / Department for Computer Science / Oxford University / American Statistical Association / MIT / Computational Intelligence / University of Freiburg / /

Position

driver / Model for Reasoning about Persistence and Causation / Player / Dean / /

PublishedMedium

Journal of Artificial Intelligence Research / Journal of the American Statistical Association / Machine Learning / /

Technology

speech recognition / Data Mining / natural language processing / Machine Learning / simulation / 4.2 Situation Model Selection using Bayes Factors The algorithm / artificial intelligence / /

URL

http /

SocialTag