Results 31 to 40 of about 88,907 (241)
Feature-enriched author ranking in incomplete networks
Applied Network Science, 2019 Evaluating scientists based on their scientific production is a controversial topic. Nevertheless, bibliometrics and algorithmic approaches can assist traditional peer review in numerous tasks, such as attributing research grants, deciding scientific ...
Jorge Silva +2 more
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Efficient Feature Ranking and Selection Using Statistical Moments
IEEE AccessUnsupervised feature selection methods can be more efficient than supervised methods, which rely on the expensive and time-consuming data labeling process.
Yael Hochma, Yuval Felendler, Mark Last
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Alternative Relative Discrimination Criterion Feature Ranking Technique for Text Classification
IEEE Access, 2023 The use of text data with high dimensionality affects classifier performance. Therefore, efficient feature selection (FS) is necessary to reduce dimensionality.
Sarah Abdulkarem Alshalif +6 more
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A novel somatic cancer gene-based biomedical document feature ranking and clustering model
Informatics in Medicine Unlocked, 2019 Background: As the size of somatic genomes in biomedical repositories increases, it is essential to predict cancer related document sets using the machine learning models. Most of the traditional gene-based somatic cancer mining models are independent of
Thulasi Bikku, Radhika Paturi
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Partial Order Rank Features in Colour Space [PDF]
Applied Sciences, 2020 Partial orders are the natural mathematical structure for comparing multivariate data that, like colours, lack a natural order. We introduce a novel, general approach to defining rank features in colour spaces based on partial orders, and show that it is possible to generalise existing rank based descriptors by replacing the order relation over ...
Fabrizio Smeraldi +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Supervised Feature Selection With a Stratified Feature Weighting Method
IEEE Access, 2018 Feature selection has been a powerful tool to handle high-dimensional data. Most of these methods are biased toward the highest rank features which may be highly correlated with each other.
Renjie Chen +4 more
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Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning
Applied Sciences, 2023 Researchers have proposed several automated diagnostic systems based on machine learning and data mining techniques to predict heart failure. However, researchers have not paid close attention to predicting cardiac patient mortality.
Ashir Javeed +5 more
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Embedded Feature Ranking for Ensemble MLP Classifiers
IEEE Transactions on Neural Networks, 2011 A feature ranking scheme for multilayer perceptron (MLP) ensembles is proposed, along with a stopping criterion based upon the out-of-bootstrap estimate. To solve multi-class problems feature ranking is combined with modified error-correcting output coding. Experimental results on benchmark data demonstrate the versatility of the MLP base classifier in
Windeatt, T, Duangsoithong, R, Smith, R
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Hierarchical feature selection for ranking [PDF]
Proceedings of the 19th international conference on World wide web, 2010 Ranking is an essential part of information retrieval(IR) tasks such as Web search. Nowadays there are hundreds of features for ranking. So learning to rank(LTR), an interdisciplinary field of IR and machine learning(ML), has attracted increasing attention.
Guichun Hua +4 more
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