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ICMLA
2008
13 years 10 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
FSTTCS
1999
Springer
14 years 1 months ago
A Randomized Algorithm for Flow Shop Scheduling
Abstract. Shop scheduling problems are known to be notoriously intractable, both in theory and practice. In this paper we give a randomized approximation algorithm for flow shop s...
Naveen Garg, Sachin Jain, Chaitanya Swamy
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 10 months ago
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
This paper aims to identify the missing links from theory of Genetic Algorithms (GAs) to application of GAs. Categories and Subject Descriptors: J.0 [Computer Applications]: Gener...
Hsinyi Jiang, Carl K. Chang
ICASSP
2010
IEEE
13 years 9 months ago
Two novel compressed-sensing algorithms for NBI detection in OFDM systems
We propose two novel algorithms based on compressed-sensing theory to estimate and cancel narrow band interference (NBI) in orthogonal frequency division multiplexing (OFDM) syste...
Ahmad Gomaa, K. M. Zahidul Islam, Naofal Al-Dhahir
SIAMCOMP
1998
114views more  SIAMCOMP 1998»
13 years 8 months ago
Maximum k-Chains in Planar Point Sets: Combinatorial Structure and Algorithms
A chain of a set P of n points in the plane is a chain of the dominance order on P. A k-chain is a subset C of P that can be covered by k chains. A k-chain C is a maximum k-chain ...
Stefan Felsner, Lorenz Wernisch