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PPSN
2004
Springer
13 years 10 months ago
An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem
Abstract. The multiple sequence alignment problem (MSA) can be reformulated as the problem of finding a maximum weight trace in an alignment graph, which is derived from all pairw...
Gabriele Koller, Günther R. Raidl
VTC
2008
IEEE
160views Communications» more  VTC 2008»
13 years 11 months ago
Reducing Feedback Requirements of the Multiple Weight Opportunistic Beamforming Scheme via Selective Multiuser Diversity
—Opportunistic beamforming (OB) relies on the transmission of Channel State Information (CSI) in the form of instantaneous Signal to Noise Ratio (SNR) from Mobile Stations (MSs) ...
Marios Nicolaou, Angela Doufexi, Simon Armour
FOCS
2010
IEEE
13 years 3 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
13 years 10 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
ICASSP
2009
IEEE
14 years 13 hour ago
A multiplicative weight perturbation scheme for distributed beamforming in wireless relay networks with 1-bit feedback
This paper focuses on perturbation-based distributed beamforming with 1-bit feedback for wireless amplify-and-forward relay networks. We propose to use multiplicative perturbation...
Peter Fertl, Ari Hottinen, Gerald Matz