Heading in the Right Direction
暂无分享,去创建一个
[1] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[2] E. Gumbel,et al. The Circular Normal Distribution: Theory and Tables , 1953 .
[3] Kanti V. Mardia,et al. Statistics of Directional Data , 1972 .
[4] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[5] B.-H. Juang,et al. Maximum-likelihood estimation for mixture multivariate stochastic observations of Markov chains , 1985, AT&T Technical Journal.
[6] L. R. Rabiner,et al. A probabilistic distance measure for hidden Markov models , 1985, AT&T Technical Journal.
[7] Peter Cheeseman,et al. A stochastic map for uncertain spatial relationships , 1988 .
[8] James Kelly,et al. AutoClass: A Bayesian Classification System , 1993, ML.
[9] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[10] F. Dyer. Bees acquire route-based memories but not cognitive maps in a familiar landscape , 1991, Animal Behaviour.
[11] R. Simmons,et al. Probabilistic Navigation in Partially Observable Environments , 1995 .
[12] Reid G. Simmons,et al. Probabilistic Robot Navigation in Partially Observable Environments , 1995, IJCAI.
[13] David Heckerman,et al. Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains , 1995, UAI.
[14] Illah R. Nourbakhsh,et al. DERVISH - An Office-Navigating Robot , 1995, AI Mag..
[15] 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.
[16] Evangelos E. Milios,et al. Globally Consistent Range Scan Alignment for Environment Mapping , 1997, Auton. Robots.
[17] Leslie Pack Kaelbling,et al. Learning Topological Maps with Weak Local Odometric Information , 1997, IJCAI.
[18] D. Fox,et al. A Probabilistic Approach for Concurrent Map Acquisition and Localization for Mobile Robots , 1997 .
[19] L. Kaelbling,et al. Learning Hidden Markov Models with Geometric Information Learning Hidden Markov Models with Geometric Information , 1997 .