253 search results - page 20 / 51 » Learning Bayesian Networks by Evolution for Classifier Combi... |
KDD
1998
ACM
14 years 7 hour ago
1998
ACM
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
ANNES
1995
13 years 11 months ago
1995
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
NIPS
2008
13 years 9 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...