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CSSC
2008
62views more  CSSC 2008»
13 years 7 months ago
An Adaptive Test for the Two-Sample Location Problem Based on U-Statistics
For the two-sample location problem we consider a general class of tests, all members of it are based on U-statistics. The asymptotic efficicacies are investigated in detail. We c...
Wolfgang Kössler, N. Kumar
PODS
2004
ACM
207views Database» more  PODS 2004»
14 years 7 months ago
Adaptive Sampling for Geometric Problems over Data Streams
Geometric coordinates are an integral part of many data streams. Examples include sensor locations in environmental monitoring, vehicle locations in traffic monitoring or battlefi...
John Hershberger, Subhash Suri
WSC
2007
13 years 9 months ago
Extension of the direct optimization algorithm for noisy functions
DIRECT (DIviding RECTangles) is a deterministic global optimization algorithm for bound-constrained problems. The algorithm, based on a space-partitioning scheme, performs both gl...
Geng Deng, Michael C. Ferris
GRC
2008
IEEE
13 years 8 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
TNN
1998
92views more  TNN 1998»
13 years 7 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...