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» The Kernel Least-Mean-Square Algorithm
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ENTCS
2006
90views more  ENTCS 2006»
14 years 9 months ago
Runtime Verification for High-Confidence Systems: A Monte Carlo Approach
We present a new approach to runtime verification that utilizes classical statistical techniques such as Monte Carlo simulation, hypothesis testing, and confidence interval estima...
Sean Callanan, Radu Grosu, Abhishek Rai, Scott A. ...
ML
2008
ACM
14 years 9 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
FGCS
2007
86views more  FGCS 2007»
14 years 9 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
TIP
2008
119views more  TIP 2008»
14 years 9 months ago
Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid
Our aim in this paper is to tighten the link between wavelets, some classical image-processing operators, and David Marr's theory of early vision. The cornerstone of our appro...
Dimitri Van De Ville, Michael Unser
TNN
2008
128views more  TNN 2008»
14 years 9 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas