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SPEECH
2008
114views more  SPEECH 2008»
13 years 7 months ago
A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems
Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield since many leading metho...
Joel R. Tetreault, Diane J. Litman
AAAI
2011
12 years 7 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
ISBI
2008
IEEE
14 years 8 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
JELIA
1998
Springer
13 years 11 months ago
Towards State Update Axioms: Reifying Successor State Axioms
Successor state axioms are an optimal solution to the famous Frame Problem in reasoning about actions--but only as far as its representational aspect is concerned. We show how by g...
Michael Thielscher