Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...

A feature of the upcoming DirectX update is Cooperative Vector Support, which plays a crucial role in optimizing AI-related computations within real-time rendering environments. This capability ...

This method improves the frequency domain distribution of Mel filter banks and optimizes the support vector machine classifier. This research proposes a feature transformation method based on sine ...

In this repository, I have explored various regression algorithms. The code is currently incomplete as I am still working on finalizing it.

What exactly happens during the process of training a data set? How do the algorithms make use of the provided data set and make prediction or classify them into different categories? Let us look at ...

PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of ...