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» Polynomial Interpretations and the Complexity of Algorithms
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DAGSTUHL
2004
15 years 7 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping
STOC
1999
ACM
176views Algorithms» more  STOC 1999»
15 years 10 months ago
On the Complexity of Computing Short Linearly Independent Vectors and Short Bases in a Lattice
Motivated by Ajtai’s worst-case to average-case reduction for lattice problems, we study the complexity of computing short linearly independent vectors (short basis) in a lattic...
Johannes Blömer, Jean-Pierre Seifert
CORR
2010
Springer
83views Education» more  CORR 2010»
15 years 4 months ago
Multitriangulations, pseudotriangulations and primitive sorting networks
We study the set of all pseudoline arrangements with contact points which cover a given support. We define a notion of flip which transforms a pseudoline arrangement with contact...
Vincent Pilaud, Michel Pocchiola
JC
2000
138views more  JC 2000»
15 years 5 months ago
Multivariate Polynomials, Duality, and Structured Matrices
We rst review thebasic properties of the well knownclasses of Toeplitz, Hankel, Vandermonde, and other related structured matrices and reexamine their correlation to operations wi...
Bernard Mourrain, Victor Y. Pan
BMCBI
2007
109views more  BMCBI 2007»
15 years 6 months ago
Computational RNA secondary structure design: empirical complexity and improved methods
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
Rosalía Aguirre-Hernández, Holger H....