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109
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SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
15 years 6 months ago
Self-tuning Histograms: Building Histograms Without Looking at Data
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Ashraf Aboulnaga, Surajit Chaudhuri
TACS
1997
Springer
15 years 6 months ago
Optimal Representations of Polymorphic Types with Subtyping (Extended Abstract)
d Abstract) Alexander Aiken1 and Edward L. Wimmers2 and Jens Palsberg3 1 EECS Department, University of California at Berkeley, Berkeley, CA 94720-1776. 2 IBM Almaden Research Cent...
Alexander Aiken, Edward L. Wimmers, Jens Palsberg
COLT
1992
Springer
15 years 6 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
AAAI
2007
15 years 4 months ago
Conservative Dual Consistency
Consistencies are properties of Constraint Networks (CNs) that can be exploited in order to make inferences. When a significant amount of such inferences can be performed, CNs ar...
Christophe Lecoutre, Stéphane Cardon, Julie...
146
Voted
ECAI
2008
Springer
15 years 4 months ago
A Decomposition Technique for Max-CSP
The objective of the Maximal Constraint Satisfaction Problem (Max-CSP) is to find an instantiation which minimizes the number of constraint violations in a constraint network. In t...
Hachemi Bennaceur, Christophe Lecoutre, Olivier Ro...