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» A Genetic Algorithm Applied to the Maximum Flow Problem
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TCAD
2008
116views more  TCAD 2008»
15 years 3 months ago
Scalable Synthesis and Clustering Techniques Using Decision Diagrams
BDDs have proven to be an efficient means to represent and manipulate Boolean formulae [1] and sets [2] due to their compactness and canonicality. In this work, we leverage the eff...
Andrew C. Ling, Jianwen Zhu, Stephen Dean Brown
CSDA
2007
105views more  CSDA 2007»
15 years 3 months ago
Calculation of simplicial depth estimators for polynomial regression with applications
A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...
R. Wellmann, S. Katina, Ch. H. Müller
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 9 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
109
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
SLIP
2009
ACM
15 years 9 months ago
Integrated interlayer via planning and pin assignment for 3D ICs
As technology advances, 3D ICs are introduced for alleviating the interconnect problem coming with shrinking feature size and increasing integration density. In 3D ICs, one of the...
Xu He, Sheqin Dong, Xianlong Hong, Satoshi Goto