The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

We describe a class of binary codes that canbe effectively used for asynchronous data transmission. The codesare defined for any odd code length by a regular algorithm, whichis based on properties of ...

Binary codes are codes which are characterized in binary system with alteration from the original ones. The two types of binary codes are the Weighted Binary Systems and Non Weighted Codes. Weighted ...