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PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 3 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
ICML
2007
IEEE
14 years 11 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
EMMCVPR
2003
Springer
14 years 3 months ago
Watershed-Based Unsupervised Clustering
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...
ICC
2007
IEEE
126views Communications» more  ICC 2007»
14 years 4 months ago
Probabilistic Search in P2P Networks with High Node Degree Variation
— A novel Adaptive Resource-based Probabilistic Search algorithm (ARPS) for P2P networks is proposed in this paper. ARPS introduces weighted probabilistic forwarding for query me...
Haoxiang Zhang, Lin Zhang, Xiuming Shan, Victor O....
JAVA
2000
Springer
14 years 1 months ago
HBench: Java: an application-specific benchmarking framework for Java virtual machines
Java applications represent a broad class of programs, ranging from programs running on embedded products to highperformance server applications. Standard Java benchmarks ignore t...
Xiaolan Zhang, Margo I. Seltzer