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» Using Random Forests in the Structured Language Model
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BMCBI
2010
183views more  BMCBI 2010»
13 years 8 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
13 years 8 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell
ECIR
2007
Springer
13 years 10 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literatu...
Vassilis Plachouras, Iadh Ounis
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 3 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
ELPUB
2006
ACM
14 years 2 months ago
Using a Walk Ontology for Capturing Language Independent Navigation Instructions
Walking is becoming increasingly popular as a leisure activity across Europe. Outdoor equipment has modernized, gained flexibility and lost weight. GPS devices are gaining popular...
Bert Paepen, Jan Engelen