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SIGMOD
1999
ACM
87views Database» more  SIGMOD 1999»
15 years 1 months ago
On Random Sampling over Joins
A major bottleneck in implementing sampling as a primitive relational operation is the ine ciency ofsampling the output of a query. It is not even known whether it is possible to ...
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasa...
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
CIAC
1994
Springer
148views Algorithms» more  CIAC 1994»
15 years 1 months ago
Efficient Reorganization of Binary Search Trees
We consider the problem of maintaining a binary search tree (BST) that minimizes the average access cost needed to satisfy randomly generated requests. We analyze scenarios in whi...
Micha Hofri, Hadas Shachnai
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
14 years 11 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford