142 search results - page 26 / 29 » jmlr 2006 |
JMLR
2002
13 years 8 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
JMLR
2002
13 years 8 months ago
2002
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
JMLR
2002
13 years 8 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
JMLR
2010
13 years 7 months ago
2010
How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks ...
JMLR
2010
13 years 3 months ago
2010
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to expre...