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CEC
2011
IEEE
14 years 3 months ago
Oppositional biogeography-based optimization for combinatorial problems
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Mehmet Ergezer, Dan Simon
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 1 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
CISS
2010
IEEE
14 years 7 months ago
Self-organizing Dynamic Fractional Frequency Reuse on the uplink of OFDMA systems
Reverse link (or uplink) performance of cellular systems is becoming increasingly important with the emergence of new uplink-bandwidth intensive applications such as Video Share [...
Balaji Rengarajan, Alexander L. Stolyar, Harish Vi...
ICCAD
1996
IEEE
90views Hardware» more  ICCAD 1996»
15 years 7 months ago
A coloring approach to the structural diagnosis of interconnects
This paper presents a new approach for diagnosing stuck-at and short faults in interconnects whose layouts are known. This structural approach exploits dierent graph coloring and ...
Xiao-Tao Chen, Fabrizio Lombardi
ESANN
2006
15 years 5 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha