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A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents
Selection of highly discriminative feature in text document plays a major challenging role in categorization. Feature selection is an important task that involves dimensionality reduction of feature matrix, which in turn ...
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization
he finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable ...
A document is known by the company it keeps: neighborhood consensus for short text categorization
(Springer Science+Business Media B.V., 2013)
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Using heaps on GPU
(2023)
Mdltext: An Efficient And Lightweight Text Classifier
(Elsevier Science BVAmsterdam, 2017)
Sobre algunas categor?as de acciones parciales sobre anillos
(Ibagu? : Universidad del Tolima, 2015(CO COL 170), 2017)
Sobre la globalizaci?n de un acci?n parcial
(Ibagu? : Universidad del Tolima, 2015(CO COL 170), 2018)