901 search results - page 7 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
CIKM
1997
Springer
13 years 11 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
AROBOTS
2011
13 years 2 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...