750 search results - page 49 / 150 » Learning SVMs from Sloppily Labeled Data |
KDD
2007
ACM
14 years 9 months ago
2007
ACM
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
COLING
2008
13 years 10 months ago
2008
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...
NIPS
2003
13 years 10 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...