9 papers:
DATE-2014-GangopadhyayLNR #adaptation #analysis #linear #modelling #performance- Modeling and analysis of digital linear dropout regulators with adaptive control for high efficiency under wide dynamic range digital loads (SG, YL, SBN, AR), pp. 1–6.
ICML-c2-2014-RippelGA #learning #order- Learning Ordered Representations with Nested Dropout (OR, MAG, RPA), pp. 1746–1754.
KDD-2014-QianHJPZ #approach #distance #learning #metric #using- Distance metric learning using dropout: a structured regularization approach (QQ, JH, RJ, JP, SZ), pp. 323–332.
SAC-2014-ManhaesCZ #architecture #named #predict #using- WAVE: an architecture for predicting dropout in undergraduate courses using EDM (LMBM, SMSdC, GZ), pp. 243–247.
- ICML-c2-2013-WangM #performance
- Fast dropout training (SIW, CDM), pp. 118–126.
KDIR-KMIS-2013-PereiraRT #data mining #mining #source code #student- Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs (RTP, ACR, JJT), pp. 136–142.
ICDAR-2011-SmithGSL #evaluation- Evaluation of Voting with Form Dropout Techniques for Ballot Vote Counting (EHBS, SG, RS, DPL), pp. 473–477.
- ICDAR-2005-ShimaOY
- A Form Dropout Method based on Line-elimination and Image-subtraction (YS, HO, MY), pp. 126–130.
ICPR-1996-YuJ- A form dropout system (BY, AKJ), pp. 701–705.
