With efficient algorithms, well-chosen functions and enough examples, machine learning can create powerful computational models that do things we have no idea how to program. Classification and ...

Linear regression algorithms fit a straight line, or another function ... minimum samples at a split, minimum weight fraction for a leaf, and about 8 more. Several production machine-learning ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

In recent years, machine learning (ML ... Conduct real-life bias assessment. Even though an algorithm can function well in the controlled conditions of the development process, real-world ...

For very sparse data sets, we need to have machine learning algorithms that can learn from just a few examples. On the other hand, the quantum algorithm is significantly worse than the classical ...

a data scientist at NASA Goddard who co-leads development of the machine learning algorithm. The scientists train the algorithm by feeding it examples of substances that may be found on Mars and ...

Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms ... (i.e., generating more samples) and quantization ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...