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DCG
2000
104views more  DCG 2000»
15 years 6 months ago
Efficient Algorithms for Approximating Polygonal Chains
We consider the problem of approximating a polygonal chain C by another polygonal chain C whose vertices are constrained to be a subset of the set of vertices of C. The goal is to ...
Pankaj K. Agarwal, Kasturi R. Varadarajan
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 5 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
ICALP
2005
Springer
15 years 12 months ago
Approximation Algorithms for the Max-coloring Problem
Given a graph G = (V, E) and positive integral vertex weights w : V → N, the max-coloring problem seeks to find a proper vertex coloring of G whose color classes C1, C2, . . . ,...
Sriram V. Pemmaraju, Rajiv Raman
SODA
2001
ACM
114views Algorithms» more  SODA 2001»
15 years 7 months ago
Approximation algorithms for TSP with neighborhoods in the plane
In the Euclidean TSP with neighborhoods (TSPN), we are given a collection of n regions (neighborhoods) and we seek a shortest tour that visits each region. As a generalization of ...
Adrian Dumitrescu, Joseph S. B. Mitchell