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» Making generative classifiers robust to selection bias
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EUPROJECTS
2006
Springer
15 years 1 months ago
Web Mediators for Accessible Browsing
We present a highly accurate method for classifying web pages based on link percentage, which is the percentage of text characters that are parts of links normalized by the number...
Benjamin N. Waber, John J. Magee, Margrit Betke
KDD
2008
ACM
148views Data Mining» more  KDD 2008»
15 years 10 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
ISBI
2011
IEEE
14 years 1 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
BMCBI
2004
87views more  BMCBI 2004»
14 years 9 months ago
prot4EST: Translating Expressed Sequence Tags from neglected genomes
Background: The genomes of an increasing number of species are being investigated through generation of expressed sequence tags (ESTs). However, ESTs are prone to sequencing error...
James Wasmuth, Mark L. Blaxter
WICOMM
2008
116views more  WICOMM 2008»
14 years 9 months ago
Arrayed MC-CDMA reception in space-time diffused multipath vector channels
Multi-Carrier Code Division Multiple Access (MC-CDMA) is a modulation scheme that combines the advantages of OFDM and CDMA to provide robustness against frequency selectivity in w...
Farrukh Rashid, Athanassios Manikas