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  • ftp://cmp.felk.cvut.cz/pub/cmp/articles/antoniuk/Antoniuk-TR-2013-22.pdf
Description
  • In this report, we outline the open issues and topics for the work towards the PhD thesis. The topics we plan to investigate are related to the methods for discriminative learning from the partially annotated examples. We put emphasis on the structured output classification where such learning methods are desperately needed. However, we are fully aware of a very high risk connected with this topic because the most straightforward ideas have been already exploited by others without a big success. In order to have a less risky contingency plan we also intend to investigate some new ideas for %22flat%22 classification with the hope that they can be further generalized to the SOL. Report contains overview of current state-of-the-art methods and our contribution to the field.
  • In this report, we outline the open issues and topics for the work towards the PhD thesis. The topics we plan to investigate are related to the methods for discriminative learning from the partially annotated examples. We put emphasis on the structured output classification where such learning methods are desperately needed. However, we are fully aware of a very high risk connected with this topic because the most straightforward ideas have been already exploited by others without a big success. In order to have a less risky contingency plan we also intend to investigate some new ideas for %22flat%22 classification with the hope that they can be further generalized to the SOL. Report contains overview of current state-of-the-art methods and our contribution to the field. (en)
Title
  • Discriminative Methods for Semi-supervised Learning
  • Discriminative Methods for Semi-supervised Learning (en)
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  • Discriminative Methods for Semi-supervised Learning
  • Discriminative Methods for Semi-supervised Learning (en)
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  • RIV/68407700:21230/13:00212095!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • P(1M0567), P(TE01020197), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Antoniuk, Kostiantyn
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 69854
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  • RIV/68407700:21230/13:00212095
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  • Learning from partitial annotations; Semi-supervised learning; SVM; S3VM; BMRM; ACCPM; ordinal regression; age recognition; Markov Random Fields (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7FA7209B1EFA]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
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  • Antoniuk, Kostiantyn
http://localhost/t...ganizacniJednotka
  • 21230
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