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» Constraint Answer Set Solving
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AAAI
2006
13 years 9 months ago
Efficient L1 Regularized Logistic Regression
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...
PETRA
2009
ACM
14 years 2 months ago
Automatic sensor placement in a 3D volume
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...
ATAL
2010
Springer
13 years 9 months ago
Optimal temporal decoupling in multiagent systems
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...
Léon Planken, Mathijs de Weerdt, Cees Witte...
ICC
2008
IEEE
142views Communications» more  ICC 2008»
14 years 2 months ago
End-to-End Outage Probability Minimization in OFDM Based Linear Multi-Hop Networks
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
ATMOS
2007
119views Optimization» more  ATMOS 2007»
13 years 9 months ago
Models for Railway Track Allocation
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...
Ralf Borndörfer, Thomas Schlechte