Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе: https://open.ni.ac.rs/handle/123456789/4
Nаziv: Confidence based learning of a two-model committee for sequence labeling
Аutоri: Mančev, Dejan 
Todorovic B.
Dаtum izdаvаnjа: 1-дец-2012
Čаsоpis: 11th Symposium on Neural Network Applications in Electrical Engineering,NEUREL 2012 - Proceedings
Sažetak: The paper presents the use of a two structural model committee, where the output of the first model together with its confidence is set as the input of the second model. The confidence for the given context of predictions in the sequence is extracted from the alternative hypotheses generated from the first model. We present experiments on the shallow parsing, comparing the performance of the proposed method to the separate models. © 2012 IEEE.
URI: https://open.ni.ac.rs/handle/123456789/4
ISBN: 9781467315722
DOI: 10.1109/NEUREL.2012.6419998
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