32 search results - page 2 / 7 » Discretizing Continuous Attributes While Learning Bayesian N... |
ECIR
2003
Springer
13 years 6 months ago
2003
Springer
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
EUSFLAT
2003
13 years 6 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
ICML
2010
IEEE
13 years 4 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
BMCBI
2008
13 years 5 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...