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AAIM
2008
Springer
138views Algorithms» more  AAIM 2008»
13 years 12 months ago
Confidently Cutting a Cake into Approximately Fair Pieces
We give a randomized protocol for the classic cake cutting problem that guarantees approximate proportional fairness, and with high probability uses a linear number of cuts.
Jeff Edmonds, Kirk Pruhs, Jaisingh Solanki
DM
2007
87views more  DM 2007»
13 years 10 months ago
Gaps in samples of geometric random variables
In this note we continue the study of gaps in samples of geometric random variables originated in Hitczenko and Knopfmacher [Gap-free compositions and gap-free samples of geometri...
William M. Y. Goh, Pawel Hitczenko
TIT
2002
142views more  TIT 2002»
13 years 9 months ago
A random matrix model of communication via antenna arrays
Abstract--A random matrix model is introduced that probabilistically describes the spatial and temporal multipath propagation between a transmitting and receiving antenna array wit...
Ralf R. Müller
VLSID
2005
IEEE
120views VLSI» more  VLSID 2005»
14 years 3 months ago
On Finding Consecutive Test Vectors in a Random Sequence for Energy-Aware BIST Design
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
Sheng Zhang, Sharad C. Seth, Bhargab B. Bhattachar...
FOCS
1999
IEEE
14 years 2 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala