A new incremental support vector machine (SVM) algorithm is proposed which is based on multiple kernel learning. Through introducing multiple kernel learning into the SVM incremental learning, large ...

3: SVM Originated in 1963, Support Vector Machine (SVM) is a core algorithm that crops up frequently in new research. Under SVM, vectors map the relative disposition of data points in a dataset, while ...

The classification of the manufacturing processes in processes that pass the in-line testing and processes that fail the in-line testing is a challenging research problem as the manufacturing ...

Machine Learning Inspired Codeword Selection for Dual Connectivity in 5G User-centric Ultra-dense Networks I am using 5g dual connectivity network dataset which consists of training samples and labels ...

About This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Ways to detect a poisoned machine learning dataset The good news is that organizations can take several measures to secure training data, verify dataset integrity and monitor for anomalies to ...

Identifying the problem of DDoS attacks is a major problem in machine learning. To achieve this, attackers often disrupt network bandwidth, shut down system resources, and thus restrict access to ...