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TSP
2010
14 years 4 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
ICLP
1999
Springer
15 years 2 months ago
Logic Programming in Oz with Mozart
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A multiparadigm language is designed to support different programming paradigms (log...
Peter Van Roy
OPODIS
2003
14 years 11 months ago
Multiple Agents RendezVous in a Ring in Spite of a Black Hole
The Rendezvous of anonymous mobile agents in a anonymous network is an intensively studied problem; it calls for k anonymous, mobile agents to gather in the same site. We study thi...
Stefan Dobrev, Paola Flocchini, Giuseppe Prencipe,...
ATAL
2011
Springer
13 years 10 months ago
Incentive design for adaptive agents
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
ECCV
2006
Springer
15 years 11 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...