One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
The paper presents a constructive 3-valued semantics for autoepistemic logic (AEL). We introduce a derivation operator and de ne the semantics as its least xpoint. The semantics is...
Marc Denecker, V. Wiktor Marek, Miroslaw Truszczyn...
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
We present a novel algorithm for computing the optimal winning bids in a combinatorial auction (CA), that is, an auction in which bidders bid for bundles of goods. All previously ...
Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...