What are Gaussian Processes?
Introduction to Gaussian Processes
Gaussian Processes are a type of statistical model that can be used to approximate functions. Unlike some other models, Gaussian Processes are non-parametric — which means that they don't make any assumptions about the shape of the underlying function they are modeling. Instead, they rely on a measure of similarity between points (called the kernel function) to make predictions about the value of an unseen data point based on the
MFF: Enhancing Brain-Computer Interface Performance through Multimodal Fuzzy Fusion
Brain-Computer Interface (BCI) technology is developing at a rapid pace, offering new opportunities for individuals with movement, cognitive, or sensory impairments to interact with the world in ways that were previously impossible. One of the most promising areas of BCI research is Motor-Imagery-Based (MIB) BCI, which utilizes electroencephalographic (EEG) signals to detect and interpret the brain activity asso
Understanding Support Vector Machines (SVM)
Support Vector Machines, also known as SVMs, are non-parametric supervised learning models. In simpler terms, they are an algorithm used for classification and regression tasks, which means they help us classify or predict data points based on previous observations or training data.
How SVM Works
SVMs use the kernel trick, which is a technique that helps to transform the input data into a high-dimensional feature space, where it can be classified m