133 search results - page 1 / 27 » Measure Transformer Semantics for Bayesian Machine Learning |
ESOP
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
FLAIRS
2006
13 years 6 months ago
2006
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
TSMC
2010
12 years 11 months ago
2010
In this paper we propose a credal representation of the interval probability associated with a belief function (b.f.), and show how it relates to several classical Bayesian transfo...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....