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» Dynamic Histograms: Capturing Evolving Data Sets
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NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
ICFP
2006
ACM
14 years 9 months ago
Delimited dynamic binding
Dynamic binding and delimited control are useful together in many settings, including Web applications, database cursors, and mobile code. We examine this pair of language feature...
Oleg Kiselyov, Chung-chieh Shan, Amr Sabry
EDBT
2010
ACM
246views Database» more  EDBT 2010»
14 years 3 months ago
Fast computation of SimRank for static and dynamic information networks
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizho...
NSDI
2008
13 years 11 months ago
Swift: A Fast Dynamic Packet Filter
This paper presents Swift, a packet filter for high performance packet capture on commercial off-the-shelf hardware. The key features of Swift include (1) extremely low filter upd...
Zhenyu Wu, Mengjun Xie, Haining Wang
ENGL
2007
101views more  ENGL 2007»
13 years 9 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan