There is a growing demand for Multi-Agent Systems (MAS) in the software industry. The autonomous agent interaction in a dynamic software environment can potentially lead to runtim...
Random problem distributions have played a key role in the study and design of algorithms for constraint satisfaction and Boolean satisfiability, as well as in our understanding o...
Tables on web pages contain a huge amount of semantically explicit information, which makes them a worthwhile target for automatic information extraction and knowledge acquisition...
In this paper we discuss a deployed application at Ford Motor Company that utilizes AI technology for the analysis of potential ergonomic concerns at our assembly plants. The manu...
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...