92 search results - page 12 / 19 » Learning Linear Precedence Rules |
JMLR
2007
14 years 9 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
KDD
1998
ACM
15 years 1 months ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
FOCS
2006
IEEE
15 years 3 months ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
NIPS
1994
14 years 10 months ago
1994
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...