I am an entering freshman in SCS. How do I become an AI major? All incoming SCS students start their first year as undeclared majors and take roughly the same curriculum during their first year. In ...

Consider the words "man", "woman", "boy", and "girl". Two of them refer to males, and two to females. Also, two of them refer to adults, and two to children. We can ...

This is a preliminary glimpse of a graphical knowledge graph exploration tool being developed by AI-CARING, an NSF AI Institute. Demos currently available: ...

This algorithm by Greengard is O(n). However, it uses more complicated mathematics and is more difficult to program in 3-dimensions, and has larger constants in its order of complexity. The NESL code.

Lecture time: Thursdays, 15:00-17:30 (15:00-16:10, break till 16:20, 16:20-17:30), GHC 4303.

by Rudyard Kipling NOTE: This is a hypertext formatted version of the Project Gutenberg edition. For more information, check the small print or check out the full ascii text. This document is part of ...

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 ...

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: ...

TL;DR: Treat outputs as a set; formulate group inference as a Quadratic Integer Programming (QIP) problem; scale efficiently with progressive pruning. Abstract: Generative models typically sample ...

Background Here you'll find the data used for the ILP '98 paper Combining Statistical and Relational Methods for Learning in Hypertext Domains. The data consists of relations suitable for providing to ...

The case of polywater demonstrates how the desire to believe in a new phenomenon can sometimes overpower the demand for solid, well-controlled evidence. In 1966 the Soviet scientist Boris ...

My research interests are machine learning and planning. My PhD thesis is about Reinforcement Learning in continuous state spaces. I also have worked in supervised learning, specifically in Nearest ...