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NIPS
2008
15 years 4 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
CSL
2007
Springer
15 years 3 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young
TIT
2010
101views Education» more  TIT 2010»
14 years 10 months ago
Wideband fading channel capacity with training and partial feedback
We consider the capacity of a wideband fading channel with partial feedback, subject to an average power constraint. A doubly block Rayleigh fading model is assumed with finite co...
Manish Agarwal, Michael L. Honig

Publication
794views
16 years 11 months ago
A Fast Implementation of The Level Set Method Without Solving Partial Differential Equations
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...
Yonggang Shi, William Clem Karl
ICML
1995
IEEE
16 years 4 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...