David Woodruff, a professor in CMU's Computer Science Department, and Samson Zhou from Texas A&M University received a ...

Carnegie Mellon is known for its stressful environment, and we realize that the pace and expectations of 15-213/15-513/14-513 can contribute to that stress. If you find yourself having trouble keeping ...

The do special form provides a generalized iteration facility, with an arbitrary number of ``index variables.'' These variables are bound within the iteration and stepped in parallel in specified ways ...

This page is optional reading. Some students wish to know a little more about the Java programming language and this page is the simplest explanation that I can formulate. The textbook doesn't ...

Am a PhD student in Language Technologies Institute at Carnegie Mellon University working with Prof. Alan Black. I actually consider myself the CTO of Alan Black Research Lab. I will design most of ...

Textbooks Lectures are intended to be self-contained. For supplementary readings, with each lecture, we will have pointers to chapters from the following books: ...

Nor did they have long to wait, for the next morning as Clayton was emerging on deck for his accustomed walk before breakfast, a shot rang out, and then another, and another. The sight which met his ...

In this tutorial we'll begin by reviewing Markov Models (aka Markov Chains) and then...we'll hide them! This simulates a very common phenomenon... there is some underlying dynamic system running along ...

Binds an array to a surface.

Knowledge of 3-D object shape is important for robot manipulation, but may not be readily available in unstructured environments. We propose a framework that incrementally reconstructs tabletop 3-D ...

We review the idea of the margin of a classifier, and why that may be a good criterion for measuring a classifier's desirability. Then we consider the computational problem of finding the largest ...

This is a very short 5 minute "executive overview" of the intuition and insight behind Bayesian Networks. Read the full Bayes Net Tutorial for more information.