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JCB
2002
70views more  JCB 2002»
13 years 7 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
FOCS
2004
IEEE
13 years 11 months ago
Triangulation and Embedding Using Small Sets of Beacons
Concurrent with recent theoretical interest in the problem of metric embedding, a growing body of research in the networking community has studied the distance matrix defined by n...
Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler
MCS
2009
Springer
14 years 10 hour ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
TSP
2012
12 years 3 months ago
Randomized Isometric Linear-Dispersion Space-Time Block Coding for the DF Relay Channel
This article presents a randomized linear-dispersion space-time block code for decode-andforward synchronous relays. The coding matrices are obtained as a set of columns (or rows)...
David Gregoratti, Walid Hachem, Xavier Mestre
IJCES
2002
100views more  IJCES 2002»
13 years 7 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang