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» Autocorrelations of Random Binary Sequences
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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
15 years 10 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
65
Voted
ICCAD
2002
IEEE
143views Hardware» more  ICCAD 2002»
15 years 6 months ago
A Markov chain sequence generator for power macromodeling
In macromodeling-based power estimation, circuit macromodels are created from simulations of synthetic input vector sequences. Fast generation of these sequences with all possible...
Xun Liu, Marios C. Papaefthymiou
ISAAC
2005
Springer
111views Algorithms» more  ISAAC 2005»
15 years 3 months ago
Smoothed Analysis of Binary Search Trees
Binary search trees are one of the most fundamental data structures. While the height of such a tree may be linear in the worst case, the average height with respect to the uniform...
Bodo Manthey, Rüdiger Reischuk
CIE
2010
Springer
15 years 2 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...
CSL
2003
Springer
15 years 3 months ago
The Arithmetical Complexity of Dimension and Randomness
Constructive dimension and constructive strong dimension are effectivizations of the Hausdorff and packing dimensions, respectively. Each infinite binary sequence A is assigned...
John M. Hitchcock, Jack H. Lutz, Sebastiaan Terwij...