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Dynamic programming / Stochastic control / Hierarchical hidden Markov model / Partially observable Markov decision process / Hidden Markov model / Markov decision process / Expectation–maximization algorithm / Markov chain / Belief propagation / Statistics / Markov processes / Markov models


Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous THEOCHAR @ AI . MIT. EDU Kevin Murphy MURPHYK @ AI . MIT. EDU
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Document Date: 2004-07-01 07:47:50


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Cambridge / Ostendorf / /

Company

Kaelbling L. P. / Prentice-Hall / AT&T / MIT Press / EDU MIT Artificial Intelligence Laboratory / IEEE/RSJ Intl / Simmons / Russell / IEEE Intl / YtB / /

Facility

Map Building / Technology Square / /

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online inference algorithm / net inference algorithm / offline algorithms / neural network / inference algorithm / offline inference algorithm / divide-andconquer algorithm / inside-outside algorithm / inference algorithms / robot systems / natural language processing / computing / online structure learning / recursive transition networks / language processing / learning algorithm / dynamic probabilistic networks / online filtering / classified using a neural network to indicate the presence / /

Organization

MIT AI / MIT / /

Person

Markov / Kevin Murphy / Leslie Pack / Georgios Theocharous / /

Position

generating model / which usually indicates overfitting / model / Singer / controller / /

Product

POMDPs / Altec XT1 Speakers / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

alpha / flat algorithm / laser / speech recognition / inference algorithms / natural language processing / inside-outside algorithm / neural network / artificial intelligence / offline inference algorithm / divide-andconquer algorithm / inference algorithm / DBN algorithms / 200 Technology / H-POMDP algorithm / DBN algorithm / net inference algorithm / Machine Learning / simulation / online inference algorithm / EM algorithm / Factored Frontier Algorithm / /

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