239 search results - page 9 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
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...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
EMNLP
2009
13 years 5 months ago
2009
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
EMNLP
2010
13 years 5 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...