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ICML
2010
IEEE
15 years 2 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 5 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
SIGCOMM
1997
ACM
15 years 9 months ago
Internet Routing Instability
Abstract—This paper examines the network interdomain routing information exchanged between backbone service providers at the major U.S. public Internet exchange points. Internet ...
Craig Labovitz, G. Robert Malan, Farnam Jahanian
ISAAC
2004
Springer
121views Algorithms» more  ISAAC 2004»
15 years 10 months ago
Approximate Distance Oracles for Graphs with Dense Clusters
Let G be a graph containing N disjoint t-spanners that are inter-connected with M edges. We present an algorithm that constructs a data structure of size O(M2 + n log n) that answ...
Mattias Andersson, Joachim Gudmundsson, Christos L...
146
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ESANN
2008
15 years 6 months ago
Approximation of Gaussian process regression models after training
The evaluation of a standard Gaussian process regression model takes time linear in the number of training data points. In this paper, the models are approximated in the feature sp...
Thorsten Suttorp, Christian Igel