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TSD
2010
Springer
13 years 5 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
CORR
2010
Springer
187views Education» more  CORR 2010»
13 years 7 months ago
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of ...
Haoyang Liu, Keqin Liu, Qing Zhao
IMC
2007
ACM
13 years 9 months ago
Measurement and analysis of online social networks
Online social networking sites like Orkut, YouTube, and Flickr are among the most popular sites on the Internet. Users of these sites form a social network, which provides a power...
Alan Mislove, Massimiliano Marcon, P. Krishna Gumm...
SECON
2008
IEEE
14 years 2 months ago
Practical Algorithms for Gathering Stored Correlated Data in a Network
—Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical...
Ramin Khalili, James F. Kurose
ECML
2006
Springer
13 years 11 months ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten