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NN
2000
Springer
145views Neural Networks» more  NN 2000»
13 years 10 months ago
Best approximation by Heaviside perceptron networks
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...
Paul C. Kainen, Vera Kurková, Andrew Vogt
MSR
2006
ACM
14 years 4 months ago
Using software birthmarks to identify similar classes and major functionalities
Software birthmarks are unique and native characteristics of every software component. Two components having similar birthmarks indicate that they are similar in functionality, st...
Takeshi Kakimoto, Akito Monden, Yasutaka Kamei, Ha...
BMCBI
2006
126views more  BMCBI 2006»
13 years 10 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
MICCAI
2009
Springer
14 years 11 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...
ICCV
2007
IEEE
15 years 15 days ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...