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IJON
2006
123views more  IJON 2006»
13 years 5 months ago
A novel approach to model neuronal signal transduction using stochastic differential equations
We introduce a new approach to model the behavior of neuronal signal transduction networks using stochastic differential equations. We present first a mathematical formulation for...
Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
13 years 11 months ago
A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
Réka Albert, Bhaskar DasGupta, Riccardo Don...
ASPDAC
1995
ACM
87views Hardware» more  ASPDAC 1995»
13 years 8 months ago
Optimization methods for lookup-table-based FPGAs using transduction method
Shigeru Yamashita, Yahiko Kambayashi, Saburo Murog...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
13 years 10 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
MLDM
2007
Springer
13 years 11 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...