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GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
16 years 1 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
16 years 29 days ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
184
Voted
INFOCOM
2003
IEEE
16 years 23 days ago
Non-Uniform Waveband Hierarchy in Hybrid Optical Networks
Abstract— Aggregation of individual wavelengths into wavebands for their subsequent switching and routing as a single group is an attractive way for scalable and cost-efficient ...
Rauf Izmailov, Samrat Ganguly, Viktor Kleptsyn, Ai...
189
Voted
SOFTVIS
2003
ACM
16 years 21 days ago
Interactive Locality Optimization on NUMA Architectures
Optimizing the performance of shared-memory NUMA programs remains something of a black art, requiring that application writers possess deep understanding of their programs’ beha...
Tao Mu, Jie Tao, Martin Schulz, Sally A. McKee
MLDM
2001
Springer
15 years 12 months ago
Local Learning Framework for Recognition of Lowercase Handwritten Characters
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen