Supervised Sequence Segmentation Algorithm: Difference between revisions

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A [[Supervised Sequence Segmentation Algorithm]] is a [[sequence segmentation algorithm]] that is a [[supervised classification algorithm]] and that can be implemented into a [[Supervised Sequence Segmentation System]] (to solve a [[Supervised Sequence Segmentation Task]]).
#REDIRECT [[Supervised String Segmentation Algorithm]]
* <B>Context:</B>
** It can be applied by a [[Supervised Sequence Segmentation System]] (that can solve a [[supervised sequence segmentation task]]).
** It can, based on the [[task domain]], be: a [[Supervised Text Segmentation Algorithm]], a [[Supervised DNA Segmentation Algorithm]], ....
* <B>Example(s):</B>
** a [[Semi-Markov CRFs]].
* <B>Counter-Example(s):</B>
** a [[Dictionary-based Sequence Segmentation Algorithm]].
** a [[Supervised Graph Segmentation Algorithm]].
* <B>See:</B> [[Supervised Sequence Recognition Task]].
 
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== References ==
 
=== 2006 ===
* ([[2006_EfficientInferenceOnSeqSegModels|Sarawagi, 2006]]) &rArr; [[Sunita Sarawagi]]. ([[2006]]). “[http://www.it.iitb.ac.in/~sunita/papers/icml06.pdf Efficient Inference on Sequence Segmentation Models].” In: Proceedings of the 23rd International Conference on Machine Learning ([[ICML 2006]]). [http://dx.doi.org/10.1145/1143844.1143944 doi:10.1145/1143844.1143944]
 
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[[Category:Concept]]

Latest revision as of 23:22, 21 January 2024

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