1419 search results - page 30 / 284 » Approximation Methods for Supervised Learning |
ICMLA
2007
13 years 10 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
ACL
2009
13 years 6 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
JMLR
2010
13 years 3 months ago
2010
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...