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» A Support Vector Clustering Method
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BMCBI
2004
93views more  BMCBI 2004»
15 years 3 months ago
Predicting binding sites of hydrolase-inhibitor complexes by combining several methods
Background: Protein-protein interactions play a critical role in protein function. Completion of many genomes is being followed rapidly by major efforts to identify interacting pr...
Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jerni...
BMCBI
2008
72views more  BMCBI 2008»
15 years 4 months ago
HECTAR: A method to predict subcellular targeting in heterokonts
Background: The heterokonts are a particularly interesting group of eukaryotic organisms; they include many key species of planktonic and coastal algae and several important patho...
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock
CIKM
2006
Springer
15 years 7 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
ICIP
2008
IEEE
16 years 5 months ago
Cross-domain learning methods for high-level visual concept classification
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...
IPM
2008
159views more  IPM 2008»
15 years 3 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw