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» Classification of Web Documents Using a Graph Model
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ICPR
2010
IEEE
14 years 7 months ago
Enhancing Web Page Classification via Local Co-training
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
Youtian Du, Xiaohong Guan, Zhongmin Cai
SIGIR
2011
ACM
14 years 18 days ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
NIPS
2004
14 years 11 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
ACL
2009
14 years 7 months ago
Markov Random Topic Fields
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified grap...
Hal Daume III
TREC
2004
14 years 11 months ago
SJTU at TREC 2004: Web Track Experiments
: This is the first year our lab to participate in Trec. We participate in Mixed-Query task for the Web track. All the runs we submitted are based on the modified Okapi weighting s...
Yiming Lu, Jian Hu, Fanyuan Ma