995 search results - page 162 / 199 » Learning Useful Horn Approximations |
111
click to vote
NAACL
2010
14 years 11 months ago
2010
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
124
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
157
click to vote
JMLR
2010
14 years 7 months ago
2010
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
110
Voted
JMLR
2010
14 years 7 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. ...
109
click to vote
JMLR
2010
14 years 7 months ago
2010
Contrastive Divergence (CD) is a popular method for estimating the parameters of Markov Random Fields (MRFs) by rapidly approximating an intractable term in the gradient of the lo...