221 search results - page 11 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
AIRWEB
2007
Springer
14 years 2 months ago
2007
Springer
Link spam deliberately manipulates hyperlinks between web pages in order to unduly boost the search engine ranking of one or more target pages. Link based ranking algorithms such ...
PAKDD
2005
ACM
14 years 1 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...
JMLR
2010
13 years 2 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
NIPS
2007
13 years 9 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...