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ICALP
1992
Springer
15 years 10 months ago
Near-perfect Token Distribution
Suppose that n tokens are arbitrarily placed on the n nodes of a graph. At each parallel step one token may be moved from each node to an adjacent node. An algorithm for the near-...
Andrei Z. Broder, Alan M. Frieze, Eli Shamir, Eli ...
FOCS
1989
IEEE
15 years 10 months ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
DAC
2005
ACM
15 years 8 months ago
How accurately can we model timing in a placement engine?
This paper presents a novel placement algorithm for timing optimization based on a new and powerful concept, which we term differential timing analysis. Recognizing that accurate ...
Amit Chowdhary, Karthik Rajagopal, Satish Venkates...
PASTE
2010
ACM
15 years 8 months ago
Packrat parsers can handle practical grammars in mostly constant space
Packrat parsing is a powerful parsing algorithm presented by Ford in 2002. Packrat parsers can handle complicated grammars and recursive structures in lexical elements more easily...
Kota Mizushima, Atusi Maeda, Yoshinori Yamaguchi
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