301 search results - page 4 / 61 » On the Optimality of Probability Estimation by Random Decisi... |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
WSC
2004
13 years 9 months ago
2004
Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
ECSQARU
2009
Springer
14 years 2 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...