13 search results - page 1 / 3 » Learning Gaussian tree models: analysis of error exponents a... |
TSP
2010
12 years 11 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...
CORR
2010
Springer
13 years 4 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...
ML
2006
ACM
13 years 4 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
NIPS
2007
13 years 6 months ago
2007
We consider the estimation problem in Gaussian graphical models with arbitrary structure. We analyze the Embedded Trees algorithm, which solves a sequence of problems on tractable...
ICIP
1995
IEEE
14 years 6 months ago
1995
IEEE
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...