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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 1 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
GEOINFORMATICA
2006
94views more  GEOINFORMATICA 2006»
15 years 1 months ago
Spatial Query Estimation without the Local Uniformity Assumption
Existing estimation approaches for spatial databases often rely on the assumption that data distribution in a small region is uniform, which seldom holds in practice. Moreover, the...
Yufei Tao, Christos Faloutsos, Dimitris Papadias
PVLDB
2010
110views more  PVLDB 2010»
14 years 11 months ago
Read-Once Functions and Query Evaluation in Probabilistic Databases
Probabilistic databases hold promise of being a viable means for large-scale uncertainty management, increasingly needed in a number of real world applications domains. However, q...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ENTCS
2008
73views more  ENTCS 2008»
15 years 1 months ago
Oracle-Based Partial Evaluation
We present Oracle-Based Partial Evaluation (OBPE), a novel approach to on-line Partial Evaluation (PE) which decides the control strategy to use for each call pattern by using an ...
Claudio Ochoa, Germán Puebla
COLING
2010
14 years 8 months ago
Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis
In this paper, we propose an unsupervised approach for identifying bipolar person names in a set of topic documents. We employ principal component analysis (PCA) to discover bipol...
Chien Chin Chen, Chen-Yuan Wu