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» Algorithms for the Sample Mean of Graphs
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DIAGRAMS
2006
Springer
15 years 1 months ago
Fixing Shin's Reading Algorithm for Peirce's Existential Graphs
In her book "The Iconic Logic of Peirce's Graphs", S. J. Shin elaborates the diagrammatic logic of Peirce's Existential Graphs. Particularly, she provides trans...
Frithjof Dau
ISNN
2007
Springer
15 years 3 months ago
Discriminant Analysis with Label Constrained Graph Partition
In this paper, a space partition method called “Label Constrained Graph Partition” (LCGP) is presented to solve the Sample-InterweavingPhenomenon in the original space. We firs...
Peng Guan, Yaoliang Yu, Liming Zhang
WSC
2000
14 years 11 months ago
Simulation output analysis via dynamic batch means
This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
Yingchieh Yeh, Bruce W. Schmeiser
ISAAC
2005
Springer
123views Algorithms» more  ISAAC 2005»
15 years 3 months ago
Sampling Unlabeled Biconnected Planar Graphs
We present an expected polynomial time algorithm to generate a 2-connected unlabeled planar graph uniformly at random. To do this we first derive recurrence formulas to count the ...
Manuel Bodirsky, Clemens Gröpl, Mihyun Kang
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert