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AICT
2007
IEEE
180views Communications» more  AICT 2007»
16 years 14 days ago
BPTraSha: A Novel Algorithm for Shaping Bursty Nature of Internet Traffic
Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self-similarity. Also, the rapid developm...
Karim Mohammed Rezaul, Vic Grout
NIPS
2001
15 years 7 months ago
The Method of Quantum Clustering
We propose a novel clustering method that is an extension of ideas inherent to scale-space clustering and support-vector clustering. Like the latter, it associates every data poin...
David Horn, Assaf Gottlieb
CIKM
2006
Springer
15 years 10 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
JMLR
2010
78views more  JMLR 2010»
15 years 28 days ago
An Alternative Prior Process for Nonparametric Bayesian Clustering
Prior distributions play a crucial role in Bayesian approaches to clustering. Two commonly-used prior distributions are the Dirichlet and Pitman-Yor processes. In this paper, we i...
Hanna M. Wallach, Shane Jensen, Lee Dicker, Kather...