Sciweavers

1041 search results - page 86 / 209
» Validation of protein models by a neural network approach
Sort
View
IJCNN
2006
IEEE
14 years 3 months ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
JAMIA
2011
94views more  JAMIA 2011»
12 years 12 months ago
Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence
Objective Uncovering the dominant molecular deregulation among the multitude of pathways implicated in aggressive prostate cancer is essential to intelligently developing targeted...
James L. Chen, Jianrong Li, Walter M. Stadler, Yve...
CEC
2009
IEEE
14 years 1 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
JIRS
2008
100views more  JIRS 2008»
13 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
BMCBI
2010
160views more  BMCBI 2010»
13 years 9 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian