Abstract: In statistical learning theory, generalization error is used to quantify the degree to which a supervised machine learning algorithm may overfit to training data.
Abstract: In recent years, advances in machine learning and related fields have led to significant advances in a range of user-interface technologies, including audio processing, speech recognition, and natural language processing.