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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 6 days ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
BMCBI
2008
112views more  BMCBI 2008»
14 years 12 months ago
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regul
Background: Innumerable biological investigations require comparing collections of molecules, cells or organisms to one another with respect to one or more of their properties. Al...
Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Mic...
SIGMETRICS
2011
ACM
182views Hardware» more  SIGMETRICS 2011»
14 years 2 months ago
Fine-grained latency and loss measurements in the presence of reordering
Modern trading and cluster applications require microsecond latencies and almost no losses in data centers. This paper introduces an algorithm called FineComb that can estimate ï¬...
Myungjin Lee, Sharon Goldberg, Ramana Rao Kompella...
ICDE
2002
IEEE
164views Database» more  ICDE 2002»
16 years 1 months ago
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Charu C. Aggarwal