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» Polynomial time algorithms for network information flow
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NCA
2008
IEEE
13 years 8 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 8 months ago
A Simple Algebraic Formulation for the Scalar Linear Network Coding Problem
In this work, we derive an algebraic formulation for the scalar linear network coding problem as an alternative to the one presented by Koetter et al in [1]. Using an equivalence b...
Abhay T. Subramanian, Andrew Thangaraj
ICC
2011
IEEE
217views Communications» more  ICC 2011»
12 years 8 months ago
A Distributed Algorithm for Multi-Constrained Anypath Routing in Wireless Mesh Networks
— Anypath routing, a new routing paradigm, has been proposed to improve the performance of wireless networks by exploiting the spatial diversity and broadcast nature of the wirel...
Xi Fang, Dejun Yang, Guoliang Xue
CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 3 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
ORL
1998
68views more  ORL 1998»
13 years 8 months ago
A fast bipartite network flow algorithm for selective assembly
Bipartite network flow problems naturally arise in applications such as selective assembly and preemptive scheduling. This paper presents fast algorithms for these problems that ...
Satoru Iwata, Tomomi Matsui, S. Thomas McCormick