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STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 1 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
STOC
2002
ACM
96views Algorithms» more  STOC 2002»
16 years 1 months ago
Near-optimal sparse fourier representations via sampling
d Abstract] A. C. Gilbert S. Guhay P. Indykz S. Muthukrishnan M. Strauss We give an algorithm for nding a Fourier representation R of B terms for a given discrete signal A of leng...
Anna C. Gilbert, Sudipto Guha, Piotr Indyk, S. Mut...
STACS
2010
Springer
15 years 8 months ago
Large-Girth Roots of Graphs
We study the problem of recognizing graph powers and computing roots of graphs. We provide a polynomial time recognition algorithm for r-th powers of graphs of girth at least 2r + ...
Anna Adamaszek, Michal Adamaszek
ISCC
2008
IEEE
130views Communications» more  ISCC 2008»
15 years 7 months ago
A graph theory based scheduling algorithm For MIMO-CDMA systems using zero forcing beamforming
We propose efficient scheduling algorithms for downlink MIMO-CDMA systems using zero forcing beamforming to achieve high system throughput with low computational complexity. Base...
Elmahdi Driouch, Wessam Ajib
TACAS
2007
Springer
110views Algorithms» more  TACAS 2007»
15 years 7 months ago
Counterexamples in Probabilistic Model Checking
This paper considers algorithms and complexity results for the generation of counterexamples in model checking of probabilistic until-formulae in discrete-time Markov chains (DTMCs...
Tingting Han, Joost-Pieter Katoen