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SPAA
2005
ACM
15 years 7 months ago
Peer-to-peer networks based on random transformations of connected regular undirected graphs
We present k-Flipper, a graph transformation algorithm that transforms regular undirected graphs. Given a path of k +2 edges it interchanges the end vertices of the path. By defin...
Peter Mahlmann, Christian Schindelhauer
ECAI
2004
Springer
15 years 7 months ago
Generating Random Bayesian Networks with Constraints on Induced Width
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Jaime Shinsuke Ide, Fabio Gagliardi Cozman, Fabio ...
CSDA
2006
82views more  CSDA 2006»
15 years 1 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
SC
2005
ACM
15 years 7 months ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadthï¬...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
APPROX
2004
Springer
108views Algorithms» more  APPROX 2004»
15 years 7 months ago
Estimating Frequency Moments of Data Streams Using Random Linear Combinations
The problem of estimating the kth frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal pap...
Sumit Ganguly