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AIPS
2006
14 years 10 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
APPROX
2004
Springer
121views Algorithms» more  APPROX 2004»
15 years 2 months ago
Small Pseudo-random Families of Matrices: Derandomizing Approximate Quantum Encryption
A quantum encryption scheme (also called private quantum channel, or state randomization protocol) is a one-time pad for quantum messages. If two parties share a classical random s...
Andris Ambainis, Adam Smith
ICML
2008
IEEE
15 years 10 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
ICASSP
2010
IEEE
14 years 9 months ago
Exponentially embedded families for multimodal sensor processing
The exponential embedding of two or more probability density functions (PDFs) is proposed for multimodal sensor processing. It approximates the unknown PDF by exponentially embedd...
Steven Kay, Quan Ding
ISBI
2009
IEEE
15 years 4 months ago
Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines
This paper deals with the problem of time-resolved fluorescence diffuse optical tomography. We propose a new reconstruction scheme based on a multi-resolution approximation of th...
Nicolas Ducros, Anabela da Silva, Jean-Marc Dinten...