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» Classifying Documents Without Labels
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HT
2010
ACM
13 years 11 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 11 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ICIP
2010
IEEE
13 years 7 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
VLDB
2003
ACM
125views Database» more  VLDB 2003»
14 years 10 months ago
THESUS: Organizing Web document collections based on link semantics
Abstract. The requirements for effective search and management of the WWW are stronger than ever. Currently Web documents are classified based on their content not taking into acco...
Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, ...
WWW
2005
ACM
14 years 10 months ago
A fast XPATH evaluation technique with the facility of updates
This paper addresses the problem of fast retrieval of data from XML documents by providing a labeling schema that can easily handle simple as well as complex XPATH queries and als...
Ashish Virmani, Suchit Agarwal, Rahul Thathoo, She...