10 search results - page 2 / 2 » SISC: A Text Classification Approach Using Semi Supervised S... |
KDD
2005
ACM
14 years 5 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
CVPR
2009
IEEE
15 years 8 days 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...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...