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SIGKDD
2000
95views more  SIGKDD 2000»
15 years 6 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
INFOCOM
2010
IEEE
15 years 5 months ago
Bayesian Inference for Localization in Cellular Networks
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
Hui Zang, François Baccelli, Jean Bolot
NN
2010
Springer
183views Neural Networks» more  NN 2010»
15 years 5 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
PVLDB
2010
93views more  PVLDB 2010»
15 years 5 months ago
Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation
The goal of a threshold query is to detect all objects whose score exceeds a given threshold. This type of query is used in many settings, such as data mining, event triggering, a...
Guy Sagy, Daniel Keren, Izchak Sharfman, Assaf Sch...
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
15 years 5 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...
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