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» Improved Approximation of Linear Threshold Functions
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ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 9 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
BMCBI
2006
116views more  BMCBI 2006»
13 years 10 months ago
Gene annotation and network inference by phylogenetic profiling
Background: Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functi...
Jie Wu, Zhenjun Hu, Charles DeLisi
CVPR
2010
IEEE
14 years 5 months ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
BMCBI
2008
107views more  BMCBI 2008»
13 years 10 months ago
Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (ML
Background: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normaliz...
Juan R. González, Josep L. Carrasco, Llu&ia...
NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 9 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...