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» Approximate algorithms for neural-Bayesian approaches
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AAMAS
2011
Springer
14 years 5 months ago
Long-term fairness with bounded worst-case losses
How does one repeatedly choose actions so as to be fairest to the multiple beneficiaries of those actions? We examine approaches to discovering sequences of actions for which the...
Gabriel Catalin Balan, Dana Richards, Sean Luke
JMLR
2010
108views more  JMLR 2010»
14 years 4 months ago
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
Taiji Suzuki, Masashi Sugiyama
JMLR
2010
101views more  JMLR 2010»
14 years 4 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
ICASSP
2011
IEEE
14 years 1 months ago
Region-based image fusion using a combinatory Chebyshev-ICA method
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA)...
Zaid Omar, Nikolaos Mitianoudis, Tania Stathaki
ICASSP
2011
IEEE
14 years 1 months ago
RSS-based sensor localization with unknown transmit power
Received signal strength (RSS)-based single source localization when there is not a prior knowledge about the transmit power of the source is investigated. Because of nonconvex be...
Reza M. Vaghefi, Mohammad Reza Gholami, Erik G. St...