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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 10 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 4 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
TVCG
2010
166views more  TVCG 2010»
13 years 8 months ago
An Extension of Wilkinson's Algorithm for Positioning Tick Labels on Axes
—The non-data components of a visualization, such as axes and legends, can often be just as important as the data itself. They provide contextual information essential to interpr...
Justin Talbot, Sharon Lin, Pat Hanrahan
ICASSP
2011
IEEE
13 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ICALP
2010
Springer
14 years 2 months ago
Dynamic Programming for Graphs on Surfaces
Abstract. We provide a framework for the design and analysis of dynamic programming algorithms for surface-embedded graphs on n vertices and branchwidth at most k. Our technique ap...
Juanjo Rué, Ignasi Sau, Dimitrios M. Thilik...