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SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
14 years 1 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
14 years 28 days 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
14 years 26 days 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
13 years 11 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...
ECAI
2008
Springer
13 years 10 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...