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» Embedding Heterogeneous Data Using Statistical Models
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ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 23 days ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
124
Voted
WCE
2007
15 years 3 months ago
The Dynamic Spatial Disaggregation Approach: A Spatio-Temporal Modelling of Crime
— The spatio-temporal modelling and forecasting of incidences of crimes have now become a routine part of crime prevention operations. However, obtaining reliable forecasts for c...
Christian Ivaha, Hasan Al-Madfai, Gary Higgs, J. A...
114
Voted
QUESTA
2006
94views more  QUESTA 2006»
15 years 2 months ago
Modeling teletraffic arrivals by a Poisson cluster process
In this paper we consider a Poisson cluster process N as a generating process for the arrivals of packets to a server. This process generalizes in a more realistic way the infinite...
Gilles Faÿ, Bárbara González-Ar...
PE
2002
Springer
176views Optimization» more  PE 2002»
15 years 2 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon
PADS
2006
ACM
15 years 8 months ago
SOAr-DSGrid: Service-Oriented Architecture for Distributed Simulation on the Grid
Simulation is a low cost alternative to experimentation on real-world physical systems. Grid technology enables coordinated use of and secure access to distributed computing resou...
Xinjun Chen, Wentong Cai, Stephen John Turner, Yon...