Results 31 to 40 of about 87,928 (288)
Dual Teaching: A Practical Semi-supervised Wrapper Method
CoRR, 2016 Semi-supervised wrapper methods are concerned with building effective supervised classifiers from partially labeled data. Though previous works have succeeded in some fields, it is still difficult to apply semi-supervised wrapper methods to practice because the assumptions those methods rely on tend to be unrealistic in practice.
Fuqiang Liu +3 more
openaire +2 more sources
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Applied Sciences, 2023 With the rapid developments in electronic commerce and digital payment technologies, credit card transactions have increased significantly. Machine learning (ML) has been vital in analyzing customer data to detect and prevent fraud. However, the presence
Ibomoiye Domor Mienye, Yanxia Sun
doaj +1 more source
Total angular momentum sorting in the telecom infrared with silicon Pancharatnam-Berry transformation optics [PDF]
, 2019 Parallel sorting of orbital angular momentum (OAM) and polarization has recently acquired paramount importance and interest in a wide range of fields ranging from telecommunications to high-dimensional quantum cryptography.
Capaldo, Pietro +4 more
core +2 more sources
Measurement: Sensors, 2022 Heart rate variability (HRV) for subjects of Congestive heart rate failure and normal sinus rhythm is structured to be subjected to turbulence studies. When checking the scaling property for NSR subjects, it indicates the presence of measured heartbeat ...
Ritu Aggarwal, Suneet Kumar
doaj +1 more source
Machine learning for automatic prediction of the quality of electrophysiological recordings [PDF]
, 2013 The quality of electrophysiological recordings varies a lot due to technical and biological variability and neuroscientists inevitably have to select “good” recordings for further analyses.
AB Wiltschko +20 more
core +8 more sources
New Bio-Marker Gene Discovery Algorithms for Cancer Gene Expression Profile
IEEE Access, 2019 Several hybrid gene selection algorithms for cancer classification that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classification accuracy.
Nada Almugren, Hala M. Alshamlan
doaj +1 more source
IEEE Access, 2023 Coal gangue recognition of top coal caving is one of the important links in the process of intelligent coal mine construction. However, the recognition accuracy of this technology in practical application is still challenging, because the recognition ...
He Li +3 more
doaj +1 more source
Wrapper-Based Feature Selection for Medical Diagnosis: The BTLBO-KNN Algorithm
IEEE Access, 2023 Medical diagnosis research has recently focused on feature selection techniques due to the availability of multiple variables in medical datasets. Wrapper-based feature selection approaches have shown promise in providing faster and more cost-effective ...
Fateh Seghir +3 more
doaj +1 more source
Advances in the Design and Implementation of a Multi-Tier Architecture in the GIPSY Environment [PDF]
, 2009 We present advances in the software engineering design and implementation of the multi-tier run-time system for the General Intensional Programming System (GIPSY) by further unifying the distributed technologies used to implement the Demand Migration ...
Han, Bin +2 more
core +3 more sources
Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]
, 2017 This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco +3 more
core +2 more sources