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AAAI
2007
13 years 10 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
CIG
2005
IEEE
14 years 2 months ago
Incrementally Learned Subjectivist Probabilities in Games
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
Colin Fyfe
BIBE
2008
IEEE
203views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
A study of the parameters affecting minimum detectable activity concentration level of clinical LSO PET scanners
— Recent studies in the field of molecular imaging have demonstrated the need for PET probes capable of imaging very weak activity distributions. Over this range of applications ...
Nicolas A. Karakatsanis, Konstantina S. Nikita
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 2 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
DCOSS
2010
Springer
13 years 11 months ago
Approximate Distributed Kalman Filtering for Cooperative Multi-agent Localization
Abstract. We consider the problem of estimating the locations of mobile agents by fusing the measurements of displacements of the agents as well as relative position measurements b...
Prabir Barooah, Wm. Joshua Russell, João P....