RuleML+RR 2020, International Joint Conference on Rules and Reasoning – PC member Oslo, Norway, 29 June - 1 July 2020 (6 March 2020) RuleML+RR 2019, International Joint Conference on Rules and ...

Prerequisites Students entering the course are expected to have prior exposure to convex optimization and algorithms at a graduate level. It will be very useful to have a strong working knowledge of ...

Javascript is required for the SCS calendar.

but if is considered more readable in some situations.

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

Please keep in mind that future weeks are always preliminary and may change.

SCS has established an endowed research fund to support CMU students and honor the life of Natasha Parker, an SCS undergraduate who continuously gave back to the school. Carnegie Mellon University's ...

Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company's new AI Ph.D. Fellowship Program. The students come from across ...

This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group.

This page works through an example of fitting a logistic model with the iteratively-reweighted least squares (IRLS) algorithm. If you'd like to examine the algorithm in more detail, here is Matlab ...