In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A I is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI is completely taking over the internet. With AI, you can get instant ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

The Affine Motion Estimation (AME) was introduced in the Versatile Video Coding (VVC) standard to allow for the detection of non-translational transformations during inter-frame prediction. Although ...

Power quality events are usually associated with more than one disturbance and their recognition is typically based on multilabel learning. In this study, we propose a new method for recognizing ...

Bergstra, J. and Bengio, Y. (2012) Random Search for Hyper-Parameter Optimization. Journal of Machine Learning Research, 13, 281-305.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.