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» On the Complexity of the Interlace Polynomial
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ECML
2004
Springer
15 years 11 months ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
DM
2007
72views more  DM 2007»
15 years 6 months ago
Multicomplexes and polynomials with real zeros
We show that each polynomial a(z)=1+a1z+· · ·+adzd in N[z] having only real zeros is the f-polynomial of a multicomplex. It follows that a(z) is also the h-polynomial of a Cohe...
Jason Bell, Mark Skandera
CORR
1998
Springer
105views Education» more  CORR 1998»
15 years 5 months ago
Solving Degenerate Sparse Polynomial Systems Faster
Abstract. Consider a system F of n polynomial equations in n unknowns, over an algebraically closed field of arbitrary characteristic. We present a fast method to find a point in...
J. Maurice Rojas
CASC
2010
Springer
160views Mathematics» more  CASC 2010»
15 years 5 months ago
Factorization of Polynomials and GCD Computations for Finding Universal Denominators
We discuss the algorithms which, given a linear difference equation with rational function coefficients over a field k of characteristic 0, compute a polynomial U(x) ∈ k[x] (a ...
Sergei A. Abramov, A. Gheffar, D. E. Khmelnov
ICIP
2005
IEEE
16 years 7 months ago
Sampling schemes for 2-D signals with finite rate of innovation using kernels that reproduce polynomials
In this paper, we propose new sampling schemes for classes of 2-D signals with finite rate of innovation (FRI). In particular, we consider sets of 2-D Diracs and bilevel polygons....
Pancham Shukla, Pier Luigi Dragotti