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ECIR
2009
Springer
13 years 6 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
CATE
2004
190views Education» more  CATE 2004»
13 years 10 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
BMCBI
2010
179views more  BMCBI 2010»
13 years 9 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
TREC
2004
13 years 10 months ago
The GUC Goes to TREC 2004: Using Whole or Partial Documents for Retrieval and Classification in the Genomics Track
We were interested in examining the relative effect of using parts of the documents, different combinations of parts of the documents, or whole documents on retrieval and classifi...
Kareem Darwish, Amgad Madkour
CIKM
2009
Springer
14 years 3 months ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang