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ICONIP
1998
15 years 8 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 7 months ago
An evolutionary design technique for collective communications on optimal diameter-degree networks
Scheduling collective communications (CC) in networks based on optimal graphs and digraphs has been done with the use of the evolutionary techniques. Inter-node communication patt...
Jirí Jaros, Vaclav Dvorak
ICML
2010
IEEE
15 years 7 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
COMGEO
2010
ACM
15 years 6 months ago
An efficient algorithm for the stratification and triangulation of an algebraic surface
: We present a method to compute the exact topology of a real algebraic surface S, implicitly given by a polynomial f Q[x,y,z] of arbitrary total degree N. Additionally, our analy...
Eric Berberich, Michael Kerber, Michael Sagraloff
161
Voted
TDP
2008
67views more  TDP 2008»
15 years 6 months ago
Generating Sufficiency-based Non-Synthetic Perturbed Data
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...
Krishnamurty Muralidhar, Rathindra Sarathy