A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...
The design of physical interfaces has been constrained by the relative akinesis of the material world. Current advances in materials science promise to change this. In this paper, ...
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
We consider the problem of online keyword advertising auctions among multiple bidders with limited budgets, and study a natural bidding heuristic in which advertisers attempt to o...
Christian Borgs, Jennifer T. Chayes, Nicole Immorl...