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» A Data Locality Optimizing Algorithm
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116
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IPPS
2005
IEEE
15 years 9 months ago
A Distributed Chained Lin-Kernighan Algorithm for TSP Problems
The Chained Lin-Kernighan algorithm (CLK) is one of the best heuristics to solve Traveling Salesman Problems (TSP). In this paper a distributed algorithm is proposed, were nodes i...
Thomas Fischer, Peter Merz
NIPS
2001
15 years 4 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
117
Voted
PR
2008
131views more  PR 2008»
15 years 3 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
139
Voted
JCP
2006
117views more  JCP 2006»
15 years 3 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
130
Voted
ICNC
2009
Springer
15 years 10 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang