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» Ergodic-Type Characterizations of Algorithmic Randomness
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CIE
2010
Springer
13 years 9 months ago
Ergodic-Type Characterizations of Algorithmic Randomness
A useful theorem of Kuˇcera states that given a Martin-L¨of random infinite binary sequence ω and an effectively open set A of measure less than 1, some tail of ω is not in A...
Laurent Bienvenu, Adam R. Day, Ilya Mezhirov, Alex...
DAC
1996
ACM
13 years 8 months ago
Characterization and Parameterized Random Generation of Digital Circuits
The development of new Field-Programmed, MaskProgrammed and Laser-Programmed Gate Array architectures is hampered by the lack of realistic test circuits that exercise both the arc...
Michael D. Hutton, Jerry P. Grossman, Jonathan Ros...
STOC
1996
ACM
118views Algorithms» more  STOC 1996»
13 years 8 months ago
Characterizing Linear Size Circuits in Terms of Privacy
In this paper we prove a perhaps unexpected relationship between the complexity class of the boolean functions that have linear size circuits, and n-party private protocols. Speci...
Eyal Kushilevitz, Rafail Ostrovsky, Adi Rosé...
NIPS
2003
13 years 6 months ago
From Algorithmic to Subjective Randomness
We explore the phenomena of subjective randomness as a case study in understanding how people discover structure embedded in noise. We present a rational account of randomness per...
Thomas L. Griffiths, Joshua B. Tenenbaum
ECCC
2006
96views more  ECCC 2006»
13 years 4 months ago
When Does Greedy Learning of Relevant Features Succeed? --- A Fourier-based Characterization ---
Detecting the relevant attributes of an unknown target concept is an important and well studied problem in algorithmic learning. Simple greedy strategies have been proposed that s...
Jan Arpe, Rüdiger Reischuk