19 citations · 37 across the 4 of their papers we have counts for
4 papers
Score and Information for Recursive Exponential Models with Incomplete Data
Bo Thiesson
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper defines a version of these mode…
Staged Mixture Modelling and Boosting
Christopher Meek, Bo Thiesson, David Heckerman
In this paper, we introduce and evaluate a data-driven staged mixture modeling technique for building density, regression, and classification models. Our basic approach is to seque…
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
In recent years, non-parametric methods utilizing random walks on graphs have been used to solve a wide range of machine learning problems, but in their simplest form they do not s…
ARMA Time-Series Modeling with Graphical Models
Bo Thiesson, David Maxwell Chickering, David Heckerman +1
We express the classic ARMA time-series model as a directed graphical model. In doing so, we find that the deterministic relationships in the model make it effectively impossible t…