1 citations
2 papers
cond-mat.other2005★ 1 cited
An adaptive Metropolis-Hastings scheme: sampling and optimization
David H. Wolpert, Chiu Fan Lee
We propose an adaptive Metropolis-Hastings algorithm in which sampled data are used to update the proposal distribution. We use the samples found by the algorithm at a particular s…
cs.AI2005
Learning to automatically detect features for mobile robots using second-order Hidden Markov Models
Olivier Aycard, Jean-Francois Mari, Richard Washington
In this paper, we propose a new method based on Hidden Markov Models to interpret temporal sequences of sensor data from mobile robots to automatically detect features. Hidden Mark…