32 search results - page 6 / 7 » Discretizing Continuous Attributes While Learning Bayesian N... |
AAAI
2008
13 years 8 months ago
2008
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
ICCV
2005
IEEE
13 years 12 months ago
2005
IEEE
When an image is viewed at varying resolutions, it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a per...
ICDM
2008
IEEE
14 years 24 days ago
2008
IEEE
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
IDEAL
2005
Springer
13 years 12 months ago
2005
Springer
Abstract. A novel Genetic Programming (GP) paradigm called Coevolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes rep...
ENGL
2007
13 years 6 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...