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KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 7 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
15 years 10 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...
JCST
2008
119views more  JCST 2008»
15 years 6 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman
SC
2003
ACM
15 years 11 months ago
Fast Parallel Non-Contiguous File Access
Many applications of parallel I/O perform non-contiguous file accesses: instead of accessing a single (large) block of data in a file, a number of (smaller) blocks of data scatt...
Joachim Worringen, Jesper Larsson Träff, Hube...
NECO
1998
151views more  NECO 1998»
15 years 6 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...