Results 21 to 30 of about 1,793,798 (289)
Feature-ranking of the Iris dataset, according to our proposed optimally-separating ANN.
, 2021 Feature-ranking of the Iris dataset, according to our proposed optimally-separating ANN.
Yiting Tsai (4614913) +2 more
core +1 more source
Computers, 2021 The aim of this research study is to detect emotional state by processing electroencephalography (EEG) signals and test effect of meditation music therapy to stabilize mental state.
Nisha Vishnupant Kimmatkar +1 more
doaj +1 more source
Using the quantum probability ranking principle to rank interdependent documents [PDF]
, 2010 A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP) has been proposed, which implicitly captures dependencies between ...
Azzopardi, L. +5 more
core +3 more sources
Deep Feature Ranking for Person Re-Identification
IEEE Access, 2019 Person re-identification plays a critical part in many surveillance applications. Due to complicated illumination environments and various viewpoints, it is still a challenging problem to extract robust features.
Jie Nie +4 more
doaj +1 more source
Ensemble feature selection approach based on feature ranking for rice seed images classification
Advances in Electrical and Electronic Engineering, 2020 In smart agriculture, rice variety inspection systems based on computer vision need to be used for recognizing rice seeds instead of using technical experts.
Dzi Lam Tran Tuan +3 more
doaj +1 more source
Feature ranking for semi-supervised learning
Machine Learning, 2022 AbstractThe data used for analysis are becoming increasingly complex along several directions: high dimensionality, number of examples and availability of labels for the examples. This poses a variety of challenges for the existing machine learning methods, related to analyzing datasets with a large number of examples that are described in a high ...
Matej Petkovic +2 more
openaire +3 more sources
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
doaj +1 more source
Online Learning to Rank with Features
CoRR, 2018 We introduce a new model for online ranking in which the click probability factors into an examination and attractiveness function and the attractiveness function is a linear function of a feature vector and an unknown parameter. Only relatively mild assumptions are made on the examination function. A novel algorithm for this setup is analysed, showing
Shuai Li 0010 +2 more
openaire +3 more sources
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
doaj +1 more source
Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
core +1 more source