For instance, the research found that for facts that appear only once in the training data, the hallucination rate of AI is at least equal to the proportion of such facts in the t ...

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...

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

This is a preview. Log in through your library . Abstract Variable screening techniques have been proposed to mitigate the impact of high dimensionality in classification problems, including t-test ...

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...