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...
Given a 3D environment, a set of constraints, and a set of sensor models, this paper addresses the problem of finding the set of sensors and their corresponding placement that cov...
Eric Becker, Gutemberg Guerra-Filho, Fillia Makedo...
When agents need to interact in order to solve some (possibly common) problem, resolving potential conflicts beforehand is often preferred to coordination during execution. Agents...
Abstract— This paper is concerned with the end-to-end transmission outage in an OFDM based wireless multi-hop network. The network consists of a source node, a destination node, ...
Xiaolu Zhang, Meixia Tao, Wenhua Jiao, Chun Sum Ng
The optimal track allocation problem (OPTRA) is to find, in a given railway network, a conflict free set of train routes of maximum value. We study two types of integer programmi...