Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

Nord Quantique, a pioneer in the field of quantum error correction, today announces a first in applied physics.

When using neural networks, raw data is usually binary (two possible values ... 1.0] In other words, effects encoding sets up an array of numeric values. The size of the array is the number of ...

In a paper prepared for an international conference on software architecture, researchers propose an error-tolerant encoding scheme ... which wants to use DNA data storage systems to preserve ...