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CARDIS
2004
Springer
149views Hardware» more  CARDIS 2004»
15 years 3 months ago
Checking and Signing XML Documents on Java Smart Cards
: One major challenge for digitally signing a document is the so called “what you see is what you sign” problem. XML as a meta language for encoding semistructured data offers ...
Nils Gruschka, Florian Reuter, Norbert Luttenberge...
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
IPM
2006
171views more  IPM 2006»
14 years 9 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
WWW
2009
ACM
15 years 10 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
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AMT
2006
Springer
147views Multimedia» more  AMT 2006»
15 years 1 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li