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» The Nature of Noise
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71
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SIAMSC
2010
130views more  SIAMSC 2010»
14 years 4 months ago
Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations
Infinitely divisible random vector without Gaussian component admits representations of shot noise series. Due to possible slow convergence of the series, they have not been inves...
Junichi Imai, Reiichiro Kawai
ICML
2003
IEEE
15 years 10 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
CEAS
2008
Springer
14 years 11 months ago
Filtering Email Spam in the Presence of Noisy User Feedback
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
D. Sculley, Gordon V. Cormack
IWVF
2001
Springer
15 years 2 months ago
Straightening and Partitioning Shapes
A method for partitioning shapes is described based on a global convexity measure. Its advantages are that its global nature makes it robust to noise, and apart from the number of ...
Paul L. Rosin
86
Voted
ICPR
2008
IEEE
15 years 4 months ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau