Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Supervised machine learning is the type of statistical learning most often associated with data science since it offers a number of methods for prediction namely regression and classification.

Companies in the fast-growing world of digital marketing have applied the use of ML to reach the right audience with the right message. As a transformational force, ML offers two different paradigms: ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed ...

We explore and develop the capacity for algorithms to learn and make decisions and predictions from their environment. We follow a series of complementary approaches within the group, from ...