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» Improved Algorithms for the 2-Vertex Disjoint Paths Problem
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JCP
2007
143views more  JCP 2007»
14 years 11 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
TVLSI
1998
124views more  TVLSI 1998»
14 years 11 months ago
Computing support-minimal subfunctions during functional decomposition
Abstract— The growing popularity of look-up table (LUT)based field programmable gate arrays (FPGA’s) has renewed the interest in functional or Roth–Karp decomposition techni...
Christian Legl, Bernd Wurth, Klaus Eckl
ICALP
2010
Springer
15 years 4 months ago
Network Design via Core Detouring for Problems without a Core
Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nod...
Fabrizio Grandoni, Thomas Rothvoß
IPCO
1998
87views Optimization» more  IPCO 1998»
15 years 1 months ago
Simple Generalized Maximum Flow Algorithms
We introduce a gain-scaling technique for the generalized maximum ow problem. Using this technique, we present three simple and intuitive polynomial-time combinatorialalgorithms fo...
Éva Tardos, Kevin D. Wayne
CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 7 months ago
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be iden...
Johannes Textor, Maciej Liskiewicz