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AI
1998
Springer
13 years 7 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
JMLR
2010
132views more  JMLR 2010»
13 years 2 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
13 years 11 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
ICASSP
2008
IEEE
14 years 2 months ago
Speech enhancement using a pitch predictive model
In this paper we present two new methods for speech enhancement based on the previously publised ne pitch model (FPM) for voiced speech. The rst method (FPM-NE) uses the FPM to pr...
Luis Buera, Jasha Droppo, Alex Acero
ICPR
2008
IEEE
14 years 8 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most ac...
Cathleen A. Geiger, Chandra Kambhamettu, Gowri Som...