- A novel binary greater cane rat algorithm for feature selection🔍
- Feature Selection with Binary Symbiotic Organisms Search ...🔍
- Greater cane rat algorithm 🔍
- Enhanced Binary Black Hole algorithm for text feature selection on ...🔍
- Greater Cane Rat Algorithm 🔍
- Discrete equilibrium optimizer combined with simulated annealing ...🔍
- A novel relation aware wrapper method for feature selection🔍
- Binary dwarf mongoose optimizer for solving high|dimensional ...🔍
A novel binary greater cane rat algorithm for feature selection
A novel binary greater cane rat algorithm for feature selection
A novel binary greater cane rat algorithm (GCRA), inspired by intelligent nocturnal behavior of the GCR which significantly affects their foraging and mating ...
A novel binary greater cane rat algorithm for feature selection
In this study, a novel binary greater cane rat algorithm (GCRA), inspired by intelligent nocturnal behavior of the GCR which significantly ...
Feature Selection with Binary Symbiotic Organisms Search ...
The proposed methods were run on 18 standard UCI datasets and compared to the base and important meta-heuristic algorithms. The test results showed that the ...
Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic ...
This paper introduces a new metaheuristic technique known as the Greater Cane Rat Algorithm (GCRA) for addressing optimization problems.
Enhanced Binary Black Hole algorithm for text feature selection on ...
In the proposed EBBH, all operators employ a novel binary encoding framework to reduce the number of features, which provides a more efficient ...
Greater Cane Rat Algorithm (GCRA) - File Exchange - MathWorks
The Greater Cane Rat Algorithm (GCRA) is a novel metaheuristic algorithm inspired by the foraging and mating behaviors of greater cane rats.
Discrete equilibrium optimizer combined with simulated annealing ...
Appl. Ahmed, A novel chaotic chicken swarm optimization algorithm for feature selection ... A novel binary greater cane rat algorithm for feature selection.
A novel relation aware wrapper method for feature selection
Based on the hyperbolic trans- fer function, authors in [26] propose a binary version of the coy- ote optimization algorithm for classification. However, these ...
Binary dwarf mongoose optimizer for solving high-dimensional ...
The effectiveness of this approach was validated using 18 high-dimensional datasets from the Arizona State University feature selection repository and compared ...
Binary Horse Optimization Algorithm for Feature Selection - MDPI
The presented solution considers the proposal of a novel approach for feature selection in classification problems, which is based on a binary version of a ...
A diagnostic miRNA signature for pulmonary arterial hypertension ...
]. We selected a random forest model as they are generally robust to overfitting, and capable of learning non-linear relationships. However, the ...
Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic ...
Semantic Scholar extracted view of "Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems" by J. Agushaka et al.
Population structure and evolutionary history of the greater cane rat ...
Grasscutter (Thryonomys swinderianus) is a large-body old world rodent found in sub-Saharan Africa. The body size and the unique taste of ...
2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to ...
Selected individuals with <5% 10-year ASCVD risk, or <40 or >75 years of age may also benefit from statin therapy. Clinicians and patients should engage in a ...
Incidence of Ceramic-on-Ceramic Bearing Fractures in Total Hip Arthroplasty: A 26-Year Single Tertiary Referral Center Study.
2015 Annual Meeting Abstract Supplement - Society of Toxicology
The goal of this study was to establish a “Vascular Sphere in Dish model” for toxicity screening based on human vascular cells for the purpose of creating a ...
... greater benefit in symptomatic AD, a combination therapy approach may be ... a novel therapeutic target for neurodegenerative disease, which leverages ...
Content Posted in 2015 - ucf stars - University of Central Florida
Allied Health in Tennessee: A Supply and Demand Study, Kaylene A. Gebert Ph.D. and M. Jo Edwards Ed.D. PDF · Allied Health Research on Health Promotion/ ...
... selection and settling selection, starting from differentness ancestral ... feature thought to reflect fine-tuned adaptation to host immune defenses ...
A Novel Feature Selection Algorithm Using Multi-Objective Improved ...
The results of the proposed method are compared to popular feature selection algorithms such as the multi-objective binary genetic algorithm integrating an ...