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» Algorithmic Complexity Bounds on Future Prediction Errors
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ICLP
1997
Springer
15 years 1 months ago
Non-Failure Analysis for Logic Programs
We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
Saumya K. Debray, Pedro López-García...
72
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TIT
1998
69views more  TIT 1998»
14 years 9 months ago
Relationships Between the Constant Modulus and Wiener Receivers
— The Godard or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the Constant Modulus...
Hanks H. Zeng, Lang Tong, C. Richard Johnson Jr.
JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
CISS
2011
IEEE
14 years 1 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
INFOCOM
2012
IEEE
12 years 12 months ago
The Variable-Increment Counting Bloom Filter
—Counting Bloom Filters (CBFs) are widely used in networking device algorithms. They implement fast set representations to support membership queries with limited error, and supp...
Ori Rottenstreich, Yossi Kanizo, Isaac Keslassy