783 search results - page 91 / 157 » A Method of Hidden Markov Model Optimization for Use with Ge... |
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we introduce a novel way of modeling distributions with a low latent dimensionality. Our method allows for a strict control of the properties of the mapping between ...
ICRA
2005
IEEE
14 years 2 months ago
2005
IEEE
— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
CAD
2006
Springer
13 years 9 months ago
2006
Springer
We investigate 3D shape reconstruction from measurement data in the presence of constraints. The constraints may fix the surface type or set geometric relations between parts of a...
AAAI
2000
13 years 10 months ago
2000
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...