Representing hierarchical POMDPs as DBNs for multi-scale robot localization
暂无分享,去创建一个
Leslie Pack Kaelbling | Kevin P. Murphy | Georgios Theocharous | K. Murphy | L. Kaelbling | Georgios Theocharous | Kevin P. Murphy
[1] L. R. Rabiner,et al. A probabilistic distance measure for hidden Markov models , 1985, AT&T Technical Journal.
[2] Carl de Marcken,et al. Unsupervised language acquisition , 1996, ArXiv.
[3] Mari Ostendorf,et al. From HMM's to segment models: a unified view of stochastic modeling for speech recognition , 1996, IEEE Trans. Speech Audio Process..
[4] Leslie Pack Kaelbling,et al. Acting under uncertainty: discrete Bayesian models for mobile-robot navigation , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.
[5] Kevin P. Murphy,et al. Space-Efficient Inference in Dynamic Probabilistic Networks , 1997, IJCAI.
[6] Wolfram Burgard,et al. A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots , 1998, Auton. Robots.
[7] Robin R. Murphy,et al. Artificial intelligence and mobile robots: case studies of successful robot systems , 1998 .
[8] Xavier Boyen,et al. Tractable Inference for Complex Stochastic Processes , 1998, UAI.
[9] Matthew Brand,et al. Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction , 1999, Neural Computation.
[10] Geoffrey Zweig,et al. Exact alpha-beta computation in logarithmic space with application to MAP word graph construction , 2000, INTERSPEECH.
[11] Virginia Reviewer-Teller,et al. Review of Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition by Daniel Jurafsky and James H. Martin. Prentice Hall 2000. , 2000 .
[12] Michael Hu,et al. A Hierarchical HMM Implementation for Vertebrate Gene Splice Site Prediction , 2000 .
[13] James H. Martin,et al. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition , 2000 .
[14] Kevin P. Murphy,et al. Linear-time inference in Hierarchical HMMs , 2001, NIPS.
[15] Sridhar Mahadevan,et al. Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation , 2001 .
[16] Hugh F. Durrant-Whyte,et al. A solution to the simultaneous localization and map building (SLAM) problem , 2001, IEEE Trans. Robotics Autom..
[17] Kevin P. Murphy,et al. The Factored Frontier Algorithm for Approximate Inference in DBNs , 2001, UAI.
[18] Sridhar Mahadevan,et al. Learning the hierarchical structure of spatial environments using multiresolution statistical models , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[19] Sridhar Mahadevan,et al. Approximate planning with hierarchical partially observable Markov decision process models for robot navigation , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[20] Mark Craven,et al. Hierarchical Hidden Markov Models for Information Extraction , 2003, IJCAI.
[21] Yoram Singer,et al. The Hierarchical Hidden Markov Model: Analysis and Applications , 1998, Machine Learning.