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KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 4 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
129
Voted
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
15 years 8 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 3 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 9 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 3 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...