Language learning depends on a combination of both experience-independent (implicit) and experience-dependent learning mechanisms. According to dominant theories of experience-independent language ...

For her interdisciplinary thesis, Nora Graves compared two automated approaches for adding accent marks to text in the Yorùbá ...

Statistical Learning Theory provides a mathematical framework for understanding how algorithms infer predictive rules from data. At its core lies the notion of risk: the expected loss of a model on ...

Language learning is a fascinating and intricate process that has intrigued scholars and researchers for centuries. It is not only a means of communication but also a window into the complex workings ...

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...