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FLAIRS
2006
15 years 8 months ago
Focusing Strategies for Multiple Fault Diagnosis
Diagnosing multiple faults for a complex system is often very difficult. It requires not only a model which adequately represents the diagnostic aspect of a complex system, but al...
Tsai-Ching Lu, K. Wojtek Przytula
NIPS
2004
15 years 8 months ago
Limits of Spectral Clustering
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
NIPS
2001
15 years 8 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
UAI
2004
15 years 8 months ago
From Fields to Trees
We present new MCMC algorithms for computing the posterior distributions and expectations of the unknown variables in undirected graphical models with regular structure. For demon...
Firas Hamze, Nando de Freitas
AAAI
1998
15 years 8 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans