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Adaptations of machine learning techniques for biomedical named entity recognition based on a feature-engineered representation / Basel M. M. Alshaikhdeeb.

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Dissertation note: Thesis (Ph.D) - Universiti Kebangsaan Malaysia, 2019.

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Holdings
Item type	Current library	Home library	Collection	Call number	Materials specified	Copy number	Status	Date due	Barcode
AM	PERPUSTAKAAN LINGKUNGAN KEDUA	PERPUSTAKAAN LINGKUNGAN KEDUA TESIS-P. LINGKUNGAN KEDUA	-	Q325.5.A447 2019 3 tesis (Browse shelf(Opens below))		1	Available		00002236624

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Previous	Q325.5.A237 2017 3 tesis Arabic pronominal anaphora resolution using a hybrid of machine learning and linguistic rules /	Q325.5.A399 2017 3 tesis Supervised embedded feature selection methods based on support vector machine for histopathology grading /	Q325.5.A439 2015 3 tesis Arabic keyphrases extraction using a hybrid of statistical and machine learning methods /	Q325.5.A447 2019 3 tesis Adaptations of machine learning techniques for biomedical named entity recognition based on a feature-engineered representation /	Q325.5.C483 2017 3 tesis A machine-learning approach to anaphora resolution of non-referential pronoun "it" for question answers pairs /	Q325.5.L339 2019 3 tesis Histogram based machine learning algorithms for continuously updated data /	Q325.5.N433 2016 3 tesis Question answering system using support vector machine for Hadith domain /	Next

Thesis (Ph.D) - Universiti Kebangsaan Malaysia, 2019.

References : page 211-217.

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