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» On Computing Functions with Uncertainty
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JC
2011
87views more  JC 2011»
15 years 1 months ago
Lower bounds for the complexity of linear functionals in the randomized setting
Abstract. Hinrichs [3] recently studied multivariate integration defined over reproducing kernel Hilbert spaces in the randomized setting and for the normalized error criterion. I...
Erich Novak, Henryk Wozniakowski
DAC
2008
ACM
16 years 7 months ago
Bi-decomposing large Boolean functions via interpolation and satisfiability solving
Boolean function bi-decomposition is a fundamental operation in logic synthesis. A function f(X) is bi-decomposable under a variable partition XA, XB, XC on X if it can be written...
Ruei-Rung Lee, Jie-Hong Roland Jiang, Wei-Lun Hung
ICFP
2003
ACM
16 years 6 months ago
Functional automatic differentiation with dirac impulses
Functional Reactive Programming (FRP) is a framework for reactive programming in a functional setting. FRP has been applied to a number of domains, such as graphical animation, gr...
Henrik Nilsson
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
SCALESPACE
2007
Springer
16 years 1 months ago
Faithful Recovery of Vector Valued Functions from Incomplete Data
On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ov...
Massimo Fornasier