How to design a kernel function is difficult for an SVM nonlinear classification problem, even for the polynomial kernel function. In this paper, we propose a new kind of polynomial kernel functions, called semi
The surge in HEA research, particularly over the last decade, can be attributed to the seminal work of Yeh et el.17and Cantor et al.18in 2004, which has broadened the field of alloy design with an emerging sub-track in HEA. After the initial design of HEAs, the constraints of equiatomi...
The goal of this article was to review the basic concepts and methodologies used in PR. The adopted approach was to focus on the major stages followed for the design of aPR systemfor theautomatic classificationof patterns into one from a number of classes. More emphasis was given on theclassi...
To boost the classification accuracy of support-vector-machines(SVM), we propose an algorithm with evolutionary multiple kernels(EMK), based on the genetic programming(GP). In this algorithm, each individual represents a multiple kernel function, and is encoded by the tree-structure for enhancing ...
In addition, the proposed algorithm can be straight applied to other multi-class classification problems with more than three classes. Introduction In this paper we deal with the problem of designing a classifier able to learn the classification of existing units in inventory and then use it to ...
(SVC) algorithm for classification, employing a 6-degree polynomial kernel (\(K(x_i, y_j) = (\gamma (x_i^T y_j) + c)^6\)). The parameter ’c’ in the kernel function serves as a free parameter that governs the influence of higher-order terms relative to lower-order terms ...
This paper proposes a novel hybrid algorithm ABCE - the combination of ABC algorithm and a classifier ensemble (CE). A classifier ensemble consisting of Support Vector Machine (SVM), Decision Tree and Nave Bayes, performs the task of classification and ABCE is used as a feature selector to ...
In the context of modern agricultural intelligence, smart picking is becoming a crucial method for enhancing production efficiency. This paper proposes a tomato detection and localization system that integrates the YOLOv5 deep learning algorithm with the SGBM algorithm to improve detection accuracy and th...
The study gives a case study of book recommendation by firstly extracting users’ personalized interests, then applying the plain Bayesian algorithm to discover users’ current personalized potential demands for books, and finally providing users with personalized intelligent book recommendation services that...
nearest neighbor, method of least squares and neural network classifiers. Simulation results prove that the SVM-PR classifier outperforms other equivalent classifier algorithms, giving high classification accuracy and less misclassification rate. The feasibility of SVM-PR classifier for on-line security ...