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» Vector valued regression for iron overload estimation
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ICPR
2008
IEEE
13 years 11 months ago
Vector valued regression for iron overload estimation
In this work we present and discuss in detail a novel vector-valued regression technique: our approach allows for an all-at-once estimation, as opposed to solve a number of scalar...
Luca Baldassarre, Annalisa Barla, Barbara Gianesin...
BMCBI
2006
211views more  BMCBI 2006»
13 years 4 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
IMSCCS
2006
IEEE
13 years 10 months ago
Estimation Of Cross-Hybridization Signals Using Support Vector Regression
Microarray technology is a powerful biotechnology tool which allows researchers to simultaneously evaluate the expression of thousands of genes, if not the entire expressed genome...
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
ICNP
2005
IEEE
13 years 10 months ago
Robust Multiclass Signaling Overload Control
We propose multi-class signaling overload control algorithms, for telecommunication switches, that are robust against different input traffic patterns and system upgrades. In ord...
Sneha Kumar Kasera, José Pinheiro, Catherin...
ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 4 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch