The first announcement came in May 2024 when Crunchy Data revealed their proprietary bridge for rewiring Postgres to route ...

This is Graham Neubig's lab at the Language Technologies Institute of Carnegie Mellon University. We do research on natural language processing and machine learning, specifically machine translation, ...

I am a postdoctoral fellow at Carnegie Mellon University. I was awarded a PhD from CMU's Machine Learning Department in December 2010. I am interested in machine learning techniques for structured ...

The NyquistIDE program combines many helpful functions and interfaces to help you get the most out of Nyquist. NyquistIDE is implemented in Java, and you will need the Java runtime system or ...

I am a final year Ph.D. student in the Robotics Institute at Carnegie Mellon University, advised by Dr. Maxim Likhachev. My general research interests span Artificial Intelligence (AI), Perception, ...

Miaomiao Wen, Diyi Yang and Carolyn Penstein Rose. Linguistic Reflections of Student Engagement in Massive Open Online Courses. ICWSM'14, 2014(Oral Paper, fulltext). Miaomiao Wen and Carolyn Penstein ...

Important note: To simultaneously accommodate in-person and zoom office hours, students should sign up for a 15-min slot beforehand for office hours. The scheduling will be on a first-come-first-serve ...

The object of this project is to gather sensor data like accelerometer and gyroscope readings from smart devices under different conditions. We plan to analyze the collected data to characterize the ...

In this tutorial we will explore tools for analyzing functional brain imaging data, namely fMRI, however these methods can be applied to other types of neuroimaging data with the proper considerations ...

We are using the Open Dynamics Engine (ODE) simulator, since it works on Linux, Windows, and Macs. We are trying to provide executables so you don't have to install ODE unless you want to change how ...

There will be four homework assignments that will have some combination of written and programming components and five online assignments. Written and online components will involve working through ...

Advantage learning is a form of reinforcement learning similar to Q-learning except that it uses advantages rather than Q-values. For a state x and action u, the advantage for that state-action pair A ...