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COLT
1999
Springer
13 years 11 months ago
Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...
Avrim Blum, Adam Kalai, John Langford
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
14 years 9 months ago
Sketch-Based Summarization of Ordered XML Streams
XML streams, such as RSS feeds or complex event streams, are becoming increasingly pervasive as they provide the foundation for a wide range of emerging applications. An important...
Veronica Mayorga, Neoklis Polyzotis
ICPR
2010
IEEE
13 years 6 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
ICC
2007
IEEE
143views Communications» more  ICC 2007»
14 years 1 months ago
An Improved Joint M-Algorithm for Single Antenna Interference Cancellation in TDMA Mobile Radio
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
Thorben Detert, Romain Drauge
NECO
2011
13 years 2 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli