881 search results - page 159 / 177 » Spectral Algorithms for Supervised Learning |
60
Voted
JMLR
2010
14 years 4 months ago
2010
We study the standard retrieval task of ranking a fixed set of items given a previously unseen query and pose it as the half transductive ranking problem. The task is transductive...
118
click to vote
TNN
2010
14 years 4 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
124
click to vote
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...