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» Spectral Techniques in Graph Algorithms
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CEC
2011
IEEE
14 years 1 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»
15 years 11 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 5 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 5 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 2 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