Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

A Laboratory-wide collaborative community of AI researchers and applied scientists works in domains from beneath the sea to outer space to innovatively incorporate autonomy, computer vision, machine ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. More for You Gov. Whitmer Responds as Trump Considers Kidnap Plot ...

ABSTRACT: Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet parameter inference for such models remains highly ...

For the discrete variable, all values were in the interval between 0 and 1; therefore, no normalization was applied. Several machine learning algorithms were examined in the present study, including ...

A potential solution to this problem is the use of a lightweight auto-tuner driven by Machine Learning (ML) that would select for the user an optimal format from a pool of available formats that will ...

It is particularly well-suited for handling high-dimensional data, optimizing combinatorial problems, and solving large-scale linear equations. Quantum machine learning algorithms can process more ...

This study uses a genetic algorithm to optimize the data and parameters obtained from the data of enthusiasts of previous courses. After optimizing the data, regression is carried out to predict the ...

The advances in Computational Intelligence, especially the new computational methods, algorithms and architectures ... This Research Topic is dedicated to machine learning methods and applications in ...