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JMLR
2012
11 years 11 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
CDC
2008
IEEE
197views Control Systems» more  CDC 2008»
14 years 2 months ago
Dynamic spectrum access policies for cognitive radio
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
ALGORITHMICA
2011
13 years 2 days ago
Algorithms for Marketing-Mix Optimization
Algorithms for determining quality/cost/price tradeoffs in saturated markets are consid-3 ered. A product is modeled by d real-valued qualities whose sum determines the unit cost ...
Joachim Gudmundsson, Pat Morin, Michiel H. M. Smid
ATAL
2006
Springer
14 years 6 days ago
Decentralized planning under uncertainty for teams of communicating agents
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A....
DAC
2007
ACM
14 years 9 months ago
An Effective Guidance Strategy for Abstraction-Guided Simulation
tive Guidance Strategy for Abstraction-Guided Simulation Flavio M. De Paula Alan J. Hu Department of Computer Science, University of British Columbia, {depaulfm, ajh}@cs.ubc.ca D...
Flavio M. de Paula, Alan J. Hu