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» Selectivity Estimation using Probabilistic Models
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CORR
2011
Springer
175views Education» more  CORR 2011»
14 years 11 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
ISNN
2009
Springer
15 years 11 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
15 years 9 months ago
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
This paper analyzes the performance of a genetic algorithm that utilizes tournament selection, one-point crossover, and a reordering operator. A model is proposed to describe the c...
Ying-Ping Chen, David E. Goldberg
TASLP
2010
117views more  TASLP 2010»
14 years 11 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
IPSN
2005
Springer
15 years 10 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy