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» Constraints in Graph Drawing Algorithms
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EMO
2005
Springer
126views Optimization» more  EMO 2005»
14 years 4 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 4 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ALENEX
2003
137views Algorithms» more  ALENEX 2003»
14 years 16 days ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
INFOCOM
2008
IEEE
14 years 5 months ago
Fair Scheduling through Packet Election
—In this paper, we consider the problem of designing scheduling algorithm for input queued switch that is both fair as well as throughput optimal. The significant body of litera...
Srikanth Jagabathula, Vishal Doshi, Devavrat Shah
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 2 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson