9 search results - page 1 / 2 » Seeing the Forest Through the Trees: Learning a Comprehensib... |
ECML
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
IEEEIAS
2008
IEEE
13 years 11 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
ACL
2009
13 years 2 months ago
2009
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
UAI
2000
13 years 6 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...