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EACL
2010
ACL Anthology
15 years 3 months ago
Generating Approximate Geographic Descriptions
Georeferenced data sets are often large and complex. Natural Language Generation (NLG) systems are beginning to emerge that generate texts from such data. One of the challenges th...
Ross Turner, Somayajulu Sripada, Ehud Reiter
CORR
2010
Springer
112views Education» more  CORR 2010»
15 years 2 months ago
Efficient Approximation of Optimal Control for Markov Games
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...
Markus Rabe, Sven Schewe, Lijun Zhang
JAIR
2006
160views more  JAIR 2006»
15 years 2 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
ICASSP
2011
IEEE
14 years 6 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
ICASSP
2008
IEEE
15 years 8 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...