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» Ensemble of Linear Models for Predicting Drug Properties
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 7 days ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
ICASSP
2010
IEEE
13 years 6 months ago
Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization
Linear prediction of speech based on 1-norm minimization has already proved to be an interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex...
Daniele Giacobello, Mads Græsbøll Chr...
ICASSP
2009
IEEE
14 years 1 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung
SIGKDD
2010
128views more  SIGKDD 2010»
13 years 1 months ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 7 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...