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» Selectivity Estimation using Probabilistic Models
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137
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CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 5 months ago
Decision Making with Side Information and Unbounded Loss Functions
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
Majid Fozunbal, Ton Kalker
ICDE
2012
IEEE
228views Database» more  ICDE 2012»
13 years 7 months ago
A General Method for Estimating Correlated Aggregates over a Data Stream
—On a stream of two dimensional data items (x, y) where x is an item identifier, and y is a numerical attribute, a correlated aggregate query requires us to first apply a selec...
Srikanta Tirthapura, David P. Woodruff
131
Voted
ICA
2004
Springer
15 years 10 months ago
A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
Mika Inki
ACL
2007
15 years 6 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
15 years 11 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...