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» Dimensions in program synthesis
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NIPS
1996
13 years 11 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
ORDER
2008
100views more  ORDER 2008»
13 years 10 months ago
Orthogonal Surfaces and Their CP-Orders
Orthogonal surfaces are nice mathematical objects which have interesting connections to various fields, e.g., integer programming, monomial ideals and order dimension. While orthog...
Stefan Felsner, Sarah Kappes
ICIP
2003
IEEE
14 years 11 months ago
Sparse decompositions in "incoherent" dictionaries
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse representations of signals/images in a union of two orthonormal bases. We conside...
Morten Nielsen, Rémi Gribonval
SEKE
2009
Springer
14 years 4 months ago
Extending AOP to Support Broad Runtime Monitoring Needs
Abstract—Runtime monitoring, where some part of a program’s behavior and/or data is observed during execution, is a very useful technique that software developers to use for un...
Amjad Nusayr, Jonathan Cook
HICSS
2005
IEEE
143views Biometrics» more  HICSS 2005»
14 years 3 months ago
A Multilingual Embodied Conversational Agent
In our paper last year [1], we described our languagetraining program, which utilizes Baldi as a tutor, who guides students through a variety of exercises designed to teach vocabu...
Dominic W. Massaro, Slim Ouni, Michael M. Cohen, R...