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IRI
2007
IEEE
15 years 3 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
AAAI
2007
14 years 12 months ago
TableRank: A Ranking Algorithm for Table Search and Retrieval
Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effective...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 3 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
SIGIR
2008
ACM
14 years 9 months ago
Workshop on aggregated search
The Workshop on Aggregated seeks to define the research problems for aggregated search results, and to build a community of researchers working in this emerging area. Aggregated s...
Vanessa Murdock, Mounia Lalmas
CEE
2010
67views more  CEE 2010»
14 years 9 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye