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Markov processes / Stochastic control / Multimodal interaction / User interfaces / Partially observable Markov decision process / Dialog system / Markov model / Markov decision process / Automated planning and scheduling / Statistics / Human–computer interaction / Dynamic programming


Efficient Model Learning for Dialog Management Finale Doshi Nicholas Roy CSAIL MIT
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Document Date: 2009-10-20 09:59:14


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City

San Francisco / Seattle / Cambridge / Arlington / /

Country

United States / /

Currency

USD / /

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Facility

Gates Tower / Dreyfoos Tower / /

IndustryTerm

assistive devices / median solution / voice recognition technology / telephone operators / incremental update algorithm / healthcare domain / stable solution / dialog policy solution / median value solution / dialog management applications / dialog planning systems / learning algorithms / voice recognition software / /

Organization

MIT / Carnegie Mellon / /

Person

Non / Learning Optimal Learner / S. Young / P. Poupart / J. D. Williams / Morgan Kaufmann / /

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Position

model designer / Prime Minister / manager responses / manager performance / Manager Non−learner / POMDP-based dialog manager / static dialog manager / manager using initial parameter estimates / POMDP dialog manager / original dialog manager / representative / good dialog manager / manager time / dialog manager / General / planner / wheelchair dialog manager / manager policy / manager / the states / /

ProvinceOrState

Virginia / California / Massachusetts / /

Technology

speech recognition / incremental update algorithm / Voice recognition / voice recognition technology / Viterbi algorithm / voice recognition system / WORK The Medusa algorithm / learning algorithms / simulation / speech recognition system / speech-recognition / PBVI algorithm / /

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