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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 5 days ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CIKM
2010
Springer
14 years 9 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 9 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
TCC
2007
Springer
104views Cryptology» more  TCC 2007»
15 years 5 months ago
Unifying Classical and Quantum Key Distillation
Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state ρABE. In addition, ...
Matthias Christandl, Artur Ekert, Michal Horodecki...
IPPS
2006
IEEE
15 years 5 months ago
Analysis of checksum-based execution schemes for pipelined processors
The performance requirements for contemporary microprocessors are increasing as rapidly as their number of applications grows. By accelerating the clock, performance can be gained...
Bernhard Fechner