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MCS
2009
Springer
13 years 10 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
ICIP
2001
IEEE
14 years 7 months ago
Embedded multiple description coding for progressive image transmission over unreliable channels
A multiple description scalar quantization (MDSQ) based coding system can be regarded as a source coder (quantizer) followed by a channel coder, i.e. the combination of index and ...
Christine Guillemot, Stéphane Pateux, Thoma...

Publication
319views
12 years 4 months ago
 Viability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natur...
Claudio Mattiussi
CEC
2008
IEEE
14 years 8 days ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
CCGRID
2007
IEEE
13 years 9 months ago
A Hybrid Linear Programming and Evolutionary Algorithm based Approach for On-line Resource Matching in Grid Environments
We describe a hybrid linear programming (LP) and evolutionary algorithm (EA) based resource matcher suitable for heterogeneous grid environments. The hybrid matcher adopts the ite...
Pawel Garbacki, Vijay K. Naik