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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICFP
2002
ACM
16 years 6 months ago
Meta-programming with names and necessity
Meta-programming is a discipline of writing programs in a certain programming language that generate, manipulate or execute programs written in another language. In a typed settin...
Aleksandar Nanevski
OOPSLA
1999
Springer
15 years 11 months ago
Age-Based Garbage Collection
Modern generational garbage collectors look for garbage among the young objects, because they have high mortality; however, these objects include the very youngest objects, which ...
Darko Stefanovic, Kathryn S. McKinley, J. Eliot B....
CN
2006
100views more  CN 2006»
15 years 6 months ago
Small-world overlay P2P networks: Construction, management and handling of dynamic flash crowds
We consider how to construct and maintain a structured overlay P2P network based on the small-world paradigm. Two main attractive properties of a small-world network are (1) a low...
Ken Y. K. Hui, John C. S. Lui, David K. Y. Yau