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» Learning Gaussian processes from multiple tasks
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JOCN
2010
99views more  JOCN 2010»
14 years 10 months ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
CIKM
2011
Springer
13 years 11 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 5 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
BIBM
2010
IEEE
158views Bioinformatics» more  BIBM 2010»
14 years 9 months ago
Protein-protein interaction prediction via Collective Matrix Factorization
Abstract--Protein-protein interactions (PPI) play an important role in cellular processes and metabolic processes within a cell. An important task is to determine the existence of ...
Qian Xu, Evan Wei Xiang, Qiang Yang
BMCBI
2006
137views more  BMCBI 2006»
14 years 11 months ago
GOPET: A tool for automated predictions of Gene Ontology terms
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...