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CSB
2004
IEEE
115views Bioinformatics» more  CSB 2004»
13 years 11 months ago
PoPS: A Computational Tool for Modeling and Predicting Protease Specificity
Proteases play a fundamental role in the control of intra- and extracellular processes by binding and cleaving specific amino acid sequences. Identifying these targets is extremel...
Sarah E. Boyd, Maria J. García de la Banda,...
ACCV
2010
Springer
13 years 2 months ago
Minimal Representations for Uncertainty and Estimation in Projective Spaces
Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
Wolfgang Förstner
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 6 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
BMCBI
2006
119views more  BMCBI 2006»
13 years 7 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
SAC
2002
ACM
13 years 7 months ago
Option pricing under model and parameter uncertainty using predictive densities
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
F. Oliver Bunnin, Yike Guo, Yuhe Ren