Results 1 to 10 of about 102,167 (290)
Insights into distributed feature ranking [PDF]
Information Sciences, 2019 Xunta de Galicia; ED431G ...
Veronica Bolón-Canedo +2 more
exaly +6 more sources
A feature selection method with feature ranking using genetic programming
Connection Science, 2022 Feature selection is a data processing method which aims to select effective feature subsets from original features. Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their ...
Guopeng Liu +3 more
doaj +3 more sources
Feature ranking and network analysis of global financial indices [PDF]
PLoS ONE, 2022 The feature ranking method of machine learning is applied to investigate the feature ranking and network properties of 21 world stock indices. The feature ranking is the probability of influence of each index on the target.
Mahmudul Islam Rakib +2 more
doaj +4 more sources
Structure and dynamics of financial networks by feature ranking method [PDF]
Scientific Reports, 2021 Much research has been done on time series of financial market in last two decades using linear and non-linear correlation of the returns of stocks.
Mahmudul Islam Rakib +2 more
doaj +2 more sources
Linear feature extraction for ranking [PDF]
Information Retrieval Journal, 2018 We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix.
Gaurav Pandey 0003 +4 more
openaire +4 more sources
Ensemble Feature Ranking [PDF]
, 2004 A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Selection is known as Feature Ranking, ranking the features with respect to their relevance.
Jong, Kees +4 more
openaire +3 more sources
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
openaire +2 more sources
Exploring the Influence of Pottery Jar Formula Variables on Flavor Substances Through Feature Ranking and Machine Learning: Case Study of Maotai-Flavored Baijiu [PDF]
FoodsThe advantages of pottery jars in the aging process of Baijiu are evident, but the impact of their material composition and pore structure on the flavor of Baijiu has not been widely studied. This study systematically analyzed the effects of six types of
Haili Yang +5 more
doaj +2 more sources
Feature Ranking on Small Samples: A Bayes-Based Approach [PDF]
EntropyIn the modern world, there is a need to provide a better understanding of the importance or relevance of the available descriptive features for predicting target attributes to solve the feature ranking problem.
Aleksandra Vatian +2 more
doaj +2 more sources
CoRR, 2023 Machine learning models are widely applied in various fields. Stakeholders often use post-hoc feature importance methods to better understand the input features' contribution to the models' predictions. The interpretation of the importance values provided by these methods is frequently based on the relative order of the features (their ranking) rather ...
Bitya Neuhof, Yuval Benjamini
openaire +4 more sources