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ICANN
2005
Springer
15 years 3 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
APPROX
2000
Springer
122views Algorithms» more  APPROX 2000»
15 years 2 months ago
An approximation algorithm for the fault tolerant metric facility location problem
We consider a fault tolerant version of the metric facility location problem in which every city, j, is required to be connected to rj facilities. We give the first non-trivial ap...
Kamal Jain, Vijay V. Vazirani
NIPS
2003
14 years 11 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
JUCS
2008
135views more  JUCS 2008»
14 years 10 months ago
Approximation to a Behavioral Model for Estimating Traffic Aggregation Scenarios
: This article provides a comparison among different methods for estimating the aggregation of Internet traffic resulting from different users, network-access types and correspondi...
Alberto E. Garcia, Klaus D. Hackbarth
SPAA
2009
ACM
15 years 10 months ago
An optimal local approximation algorithm for max-min linear programs
In a max-min LP, the objective is to maximise subject to Ax 1, Cx 1, and x 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorith...
Patrik Floréen, Joel Kaasinen, Petteri Kask...