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» Learning Classifiers from Semantically Heterogeneous Data
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LREC
2010
155views Education» more  LREC 2010»
13 years 10 months ago
Automatic Acquisition of Chinese Novel Noun Compounds
Automatic acquisition of novel compounds is notoriously difficult because most novel compounds have relatively low frequency in a corpus. The current study proposes a new method t...
Meng Wang, Chu-Ren Huang, Shiwen Yu, Weiwei Sun
CEC
2007
IEEE
14 years 27 days ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
ESWS
2011
Springer
13 years 12 days ago
DataFinland - A Semantic Portal for Open and Linked Datasets
The number of open datasets available on the web is increasing rapidly with the rise of the Linked Open Data (LOD) cloud and various governmental efforts for releasing public data ...
Matias Frosterus, Eero Hyvönen, Joonas Laitio
WWW
2009
ACM
14 years 9 months ago
Large scale integration of senses for the semantic web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues du...
Jorge Gracia, Mathieu d'Aquin, Eduardo Mena
SAC
2009
ACM
14 years 3 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan