Results 1 to 10 of about 290,065 (293)
Relevance popularity: A term event model based feature selection scheme for text classification. [PDF]
PLoS ONE, 2017 Feature selection is a practical approach for improving the performance of text classification methods by optimizing the feature subsets input to classifiers. In traditional feature selection methods such as information gain and chi-square, the number of
Guozhong Feng +4 more
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Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images
Journal of Intelligent Systems, 2018 The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing features, resulting in acceptable classification accuracy.
Singh Pawan Kumar +3 more
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Theoretical model of system for optimized software selection process
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2010 Selection of a suitable software is an everyday problem for many users. This process if often ineffective, as the users usually work only with a restricted set of programs and are unable to have appropriate knowledge about all programs available.
Jiří Rybička +2 more
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Performance Comparison of Embeddings and Keyword Selection Methods in Enterprise Document
Journal of Applied Informatics and ComputingKeyword extraction is widely used in domains such as social media and e-commerce, but its application for enterprise document retrieval remains limited.
Putri Cristin +3 more
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Библиосфера, 2010 The results of the research work and practice of serials collection forming in the Central Library of the Siberian Branch of the Russian Academy of Sciences are presented.
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization
The Scientific World Journal, 2014 The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. Most of filtering feature-selection algorithms evaluate the significance of a feature for category based on ...
Jieming Yang, Zhaoyang Qu, Zhiying Liu
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Incorporating Topic Information in a Global Feature Selection Schema for Authorship Attribution
IEEE Access, 2019 Authorship attribution (AA) is a stylometric analysis task of finding the author of an anonymous/disputed text document. In AA, the performance improvement of class-based feature selection schemas, such as Chi-square, and Gini index over frequency-based ...
Hayri Volkan Agun, Ozgur Yilmazel
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A New Feature Selection Scheme for Emotion Recognition from Text
Applied Sciences, 2020 This paper presents a new scheme for term selection in the field of emotion recognition from text. The proposed framework is based on utilizing moderately frequent terms during term selection.
Zafer Erenel +2 more
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness
Food Innovation and AdvancesThe potential of employing hyperspectral imaging (HSI) in the near-infrared (NIR) range (386.82−1,004.50 nm) for predicting the firmness of 'Fuji' apples cultivated in Aksu has been evaluated.
Shuiping Li +7 more
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Journal of Imaging, 2018 Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis.
Maroua Mehri +5 more
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