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198
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ICOIN
2004
Springer
16 years 20 days ago
On Generating Random Network Structures: Connected Graphs
Abstract. In this paper we present the set of base algorithms for generating connected random graphs (RG). RG can be used for testing different algorithms on networks. The fast al...
Alexey S. Rodionov, Hyunseung Choo
224
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NIPS
2001
15 years 8 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
ICANN
2009
Springer
15 years 12 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
200
Voted
PLDI
2004
ACM
16 years 21 days ago
Parametric regular path queries
Regular path queries are a way of declaratively expressing queries on graphs as regular-expression-like patterns that are matched against paths in the graph. There are two kinds o...
Yanhong A. Liu, Tom Rothamel, Fuxiang Yu, Scott D....
201
Voted
GECCO
2000
Springer
127views Optimization» more  GECCO 2000»
15 years 11 months ago
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
We present a new representation for a genetic algorithm to evolve molecular structures representing possible drugs that bind to a given protein target receptor. Our representation...
Gerard Kian-Meng Goh, James A. Foster