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» On the Complexity of Exclusion Algorithms for Optimization
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 7 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
JMLR
2008
137views more  JMLR 2008»
15 years 1 months ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
BMCBI
2011
14 years 5 months ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
ISCC
2008
IEEE
130views Communications» more  ISCC 2008»
15 years 8 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
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 1 months ago
Adversary lower bounds for nonadaptive quantum algorithms
We present two general methods for proving lower bounds on the query complexity of nonadaptive quantum algorithms. Both methods are based on the adversary method of Ambainis. We sh...
Pascal Koiran, Jürgen Landes, Natacha Portier...