1683 search results - page 65 / 337 » Learning with Mixtures of Trees |
TSP
2010
13 years 3 months ago
2010
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
ICML
1999
IEEE
14 years 10 months ago
1999
IEEE
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
AAAI
1998
13 years 10 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
ECCV
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
INFOVIS
2005
IEEE
14 years 2 months ago
2005
IEEE
We investigate the use of elastic hierarchies for representing trees, where a single graphical depiction uses a hybrid mixture, or “interleaving”, of more basic forms at diffe...