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» Pattern Recognition Using Functions of Multiple Instances
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BMCBI
2010
109views more  BMCBI 2010»
15 years 4 months ago
Pripper: prediction of caspase cleavage sites from whole proteomes
Background: Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-...
Mirva Piippo, Niina Lietzén, Olli Nevalaine...
IBPRIA
2009
Springer
15 years 9 months ago
Variable Order Finite-Context Models in DNA Sequence Coding
Abstract. Being an essential key in biological research, the DNA sequences are often shared between researchers and digitally stored for future use. As these sequences grow in volu...
Daniel A. Martins, António J. R. Neves, Arm...
MCS
2008
Springer
15 years 4 months ago
Study on shape creation of building's roof by evaluating aesthetic sensibility
The purpose of this study is to develop an optimum design method for roof shapes satisfying both aesthetic sensibility (beauty) and economic evaluation by using the genetic algori...
Kazutoshi Tsutsumi, Keisuke Sasaki
MICCAI
2008
Springer
16 years 5 months ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil