Results 21 to 30 of about 87,928 (288)
Applying Twin-Hybrid Feature Selection Scheme on Transient Multi-Trajectory Data for Transient Stability Prediction [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 A speedy and accurate transient stability assessment (TSA) is gained by employing efficient machine learning- and statistics-based (MLST) algorithms on transient nonlinear time series space.
Seyed Alireza Bashiri Mosavi +1 more
doaj +1 more source
New Feature Selection Approach for Photovoltaïc Power Forecasting Using KCDE
Energies, 2023 Feature selection helps improve the accuracy and computational time of solar forecasting. However, FS is often passed by or conducted with methods that do not suit the solar forecasting issue, such as filter or linear methods. In this study, we propose a
Jérémy Macaire +2 more
doaj +1 more source
Digging into acceptor splice site prediction : an iterative feature selection approach [PDF]
, 2004 Feature selection techniques are often used to reduce data dimensionality, increase classification performance, and gain insight into the processes that generated the data.
A.I. Blum +18 more
core +2 more sources
IEEE Access, 2020 Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce.
Zenab Mohamed Elgamal +4 more
doaj +1 more source
Mathematics, 2022 Feature selection (FS) is commonly thought of as a pre-processing strategy for determining the best subset of characteristics from a given collection of features.
Jayashree Piri +6 more
doaj +1 more source
Are IEEE 1500 compliant cores really compliant to the standard? [PDF]
, 2009 Functional verification of complex SoC designs is a challenging task, which fortunately is increasingly supported by automation. This article proposes a verification component for IEEE Std 1500, to be plugged into a commercial verification tool ...
Benso, Alfredo +3 more
core +2 more sources
IEEE Access, 2022 Feature selection (FS) using meta-heuristic algorithms on high-dimensional datasets (HDD) is becoming more prevalent due to the continuous advancement in data mining.
Li Yu Yab +2 more
doaj +1 more source
Cogent Engineering, 2018 This paper puts forth a framework of a medical image analysis system for brain tumor segmentation. Image segmentation helps to segregate objects right from the background, thus proving to be a powerful tool in medical image processing.
Aswathy Sukumaran +2 more
doaj +1 more source
Wrapper for Building Classification Models Using Covering Arrays
IEEE Access, 2019 Wrapper methods are a type of feature selection method that finds a subset of variables to improve the performance of a classifier by removing redundant and irrelevant variables.
Hugo Dorado +5 more
doaj +1 more source
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
, 2006 In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Matwin, Stan +2 more
core +2 more sources