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170
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STOC
2003
ACM
188views Algorithms» more  STOC 2003»
16 years 6 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
IDA
2002
Springer
15 years 6 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
CP
2010
Springer
15 years 5 months ago
A Box-Consistency Contractor Based on Extremal Functions
Abstract. Interval-based methods can approximate all the real solutions of a system of equations and inequalities. The Box interval constraint propagation algorithm enforces Box co...
Gilles Trombettoni, Yves Papegay, Gilles Chabert, ...
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 1 months ago
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions
Matching dependencies were recently introduced as declarative rules for data cleaning and entity resolution. Enforcing a matching dependency on a database instance identifies the ...
Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. La...
SIAMIS
2010
378views more  SIAMIS 2010»
15 years 1 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert