R Resources Statistical Machine Learning is a second graduate level course in machine learning, assuming students have taken Machine Learning (10-701) and Intermediate Statistics (36-705). The term ...

I am an interaction designer and researcher with a joint appointment as an Associate Professor at the Human-Computer Interaction Institute and at the School of Design. Currently I am on sabbatical ...

Main lectures are held on Monday and Wednesday, but we may also schedule activities (some compulsory) in the Friday slot. The three quizzes and the two midterm exams will be on Fridays during class ...

The names and naming practices for this handout were primarily taken from a series of books called Catálogo de Pasajeros a Indias (Catalog of passengers to the New World). The books contain lists of ...

`I couldn't help it,' said Five, in a sulky tone; `Seven jogged my elbow.' On which Seven looked up and said, `That's right, Five! Always lay the blame on others!' `You'd better not talk!' said Five.

An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally represented. Often ...

Inspired by the natural curiosity he saw in animals, MLD Assistant Professor Aran Nayebi and his CMU colleagues created a ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Yubin Kim is a PhD candidate in the Language Technologies Institute of the School of Computer Science at Carnegie Mellon University. Her main research area is information retrieval.

Guaranteed-Quality Anisotropic Mesh Generation. If you're in Soda Hall, you'll find copies of most of my papers hanging outside my office (625). Take the ones you want. FAR AND AWAY MY MOST POPULAR ...

Research awards: Her research has earned her an Alfred Sloan Fellowship, the 2009 Carnegie Science Center's Emerging Female Scientist Award, an NSF CAREER Award, a Best Paper Award, the 2001 UCSB ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...