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82
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DCC
2010
IEEE
14 years 11 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
EVOW
2007
Springer
15 years 7 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
102
Voted
GPEM
2002
95views more  GPEM 2002»
15 years 17 days ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
110
Voted
ISCC
2006
IEEE
15 years 6 months ago
Performance Evaluation of a Basic OFDMA Scheduling Algorithm for Packet Data Transmissions
Currently, the OFDMA transmission scheme seems to be a promising candidate for future broadband radio systems. The crucial part which determines the performance is thereby the com...
Michael Einhaus, Ole Klein
91
Voted
ESANN
2003
15 years 2 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre