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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 10 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
FOCS
1992
IEEE
14 years 1 months ago
Maximizing Non-Linear Concave Functions in Fixed Dimension
Consider a convex set P in IRd and a piecewise polynomial concave function F: P IR. Let A be an algorithm that given a point x IRd computes F(x) if x P, or returns a concave po...
Sivan Toledo
JCO
2010
97views more  JCO 2010»
13 years 7 months ago
Subhypergraph counts in extremal and random hypergraphs and the fractional q-independence
We study the extremal parameter N(n, m, H) which is the largest number of copies of a hypergraph H that can be formed of at most n vertices and m edges. Generalizing previous work...
Andrzej Dudek, Joanna Polcyn, Andrzej Rucinski
DAC
2003
ACM
14 years 2 months ago
Symbolic analysis of analog circuits with hard nonlinearity
A new methodology is presented to solve a strongly nonlinear circuit, characterized by Piece-Wise Linear (PWL) functions, symbolically and explicitly in terms of its circuit param...
Alicia Manthe, Zhao Li, C.-J. Richard Shi
EUROCAST
1997
Springer
85views Hardware» more  EUROCAST 1997»
14 years 1 months ago
Turing Universality of Neural Nets (Revisited)
We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. W...
João Pedro Guerreiro Neto, Hava T. Siegelma...