Feature Selection Using New Version of V|Shaped Transfer ...

Improving whale optimization algorithm for feature selection with a ...

In this work, a feature selection approach based on the binary whale optimization algorithm with different kinds of updating techniques for the time-varying ...

An improved Differential evolution with Sailfish optimizer (DESFO ...

As a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline ...

S-shaped grey wolf optimizer-based FOX algorithm for feature ...

In feature selection, the most informative features are retained while discarding irrelevant ones. An enhanced version of the FOX algorithm is.

BMPA-TVSinV: A binary metaheuristic for Feature Selection

A novel Binary Marine Predator Algorithm using Time-Varying Sinus and V-shaped transfer functions (BMPA-TVSinV) is introduced to find the optimal subset of ...

Feature Selection for Transfer Learning - Carnegie Mellon University

is sufficient labeled data in the target (newer) domain to train a new model. There have been many efforts to deal with such situations, including rela-.

Improving binary crow search algorithm for feature selection

The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to ...

Binary PSO Variants for Feature Selection in Handwritten Signature ...

Binary social mimic optimization algorithm with X-shaped transfer function for feature selection. ... New filter approaches for feature selection using ...

Opposition-based binary competitive optimization algorithm using ...

Opposition-based binary competitive optimization algorithm using time-varying V-shape transfer function for feature selection. Language: English; Authors ...

Feature Selection Method for Gear Health Indicator Using MIC ...

With the advent of numerous libraries and models for time-series data feature extraction, the range of potential features has expanded ...

Analysis of various transfer functions for binary owl search algorithm ...

The present section represents a brief description of original OSA followed by its binary version BOSA and the application of BOSA in feature subset selection ...

Evolutionary binary feature selection using adaptive ebola ... - PLOS

However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. Though hybrid methods ...

Cross-Subject EEG Feature Selection for Emotion Recognition ...

With a linear least square support vector machine classifier implemented, the performance of the T-RFE is compared against several conventional feature ...

Binary PSO Variants for Feature Selection in Handwritten Signature ...

2) Transfer functions: Transformation functions are often used to switch from a continuous space to a binary one. They convert a real number into the range ...

Efficient feature selection for histopathological image classification ...

Furthermore, by comparing five classifiers in terms of accuracy, mean number of selected features, and calculation time, the effectiveness of ...

S-shaped and V-shaped gaining-sharing knowledge-based ...

Most of the algorithms have shown excellent performance in solving feature selection problems. ... S-shaped and V-shaped transfer functions · Feature selection · ...

S-shaped Binary Whale Optimization Algorithm for Feature Selection

... new version of the bWOA-S. The conversion is performed by applying an S-shaped transfer function. Algorithm 1 shows the steps of the proposed S-shaped ...

Binary Multi-Verse Optimization (BMVO) Approaches for Feature ...

V-shaped transfer functions for ant lion optimization algorithm in feature selection problem. ... A new feature selection method based on ...

Conformal feature-selection wrappers for instance transfer

In this paper we propose a new method of conformal feature-selection wrappers for instance transfer (CFSWIT).

Binary Political Optimizer for Feature Selection Using Gene ...

Two transfer functions are used to design a binary PO. The first one is based on Sigmoid function and will be noted as BPO-S, while the second ...

A Feature-based Transfer Learning to Improve the Image ...

The dimension reduction in the method is more towards the formation of new features subsets through the implementation of features selection techniques.