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» Resampling-based software for estimating optimal sample size
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ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 11 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 days ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
WSC
2004
13 years 8 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
SSPR
2004
Springer
14 years 24 days ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
ICDE
2000
IEEE
183views Database» more  ICDE 2000»
14 years 8 months ago
Accurate Estimation of the Cost of Spatial Selections
Optimizing queries that involve operations on spatial data requires estimating the selectivity and cost of these operations. In this paper, we focus on estimating the cost of spat...
Ashraf Aboulnaga, Jeffrey F. Naughton