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Radford M. Neal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ian H. Witten, Radford M. Neal, John G. Cleary
    Arithmetic Coding for Data Compression. [Citation Graph (6, 0)][DBLP]
    Commun. ACM, 1987, v:30, n:6, pp:520-540 [Journal]
  2. Radford M. Neal
    Connectionist Learning of Belief Networks. [Citation Graph (2, 0)][DBLP]
    Artif. Intell., 1992, v:56, n:1, pp:71-113 [Journal]
  3. Alistair Moffat, Radford M. Neal, Ian H. Witten
    Arithmetic Coding Revisited. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1995, pp:202-211 [Conf]
  4. Radford M. Neal
    Classification with Bayesian Neural Networks. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:28-32 [Conf]
  5. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
    Multiple Alignment of Continuous Time Series. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  6. Radford M. Neal
    Bayesian Learning via Stochastic Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:475-482 [Conf]
  7. Radford M. Neal, Matthew J. Beal, Sam T. Roweis
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  8. Michael Harvey, Radford M. Neal
    Inference for Belief Networks Using Coupling From the Past. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:256-263 [Conf]
  9. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
    Difference detection in LC-MS data for protein biomarker discovery. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:2, pp:198-204 [Journal]
  10. Radford M. Neal
    On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note). [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2000, v:12, n:, pp:87-91 [Journal]
  11. Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
    The Helmholtz machine. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:5, pp:889-904 [Journal]
  12. Radford M. Neal, Peter Dayan
    Factor Analysis Using Delta-Rule Wake-Sleep Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:8, pp:1781-1803 [Journal]
  13. Ian H. Witten, Graham M. Birtwistle, John G. Cleary, David R. Hill, Danny Levinson, Greg Lomow, Radford M. Neal, Murray Peterson, Brian Unger, Brian Wyvill
    Jade: A Distributed Software Prototyping Environment. [Citation Graph (0, 0)][DBLP]
    Operating Systems Review, 1983, v:17, n:3, pp:10-23 [Journal]
  14. Radford M. Neal
    Comments on 'A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images'. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1993, v:39, n:1, pp:310-0 [Journal]
  15. Alistair Moffat, Radford M. Neal, Ian H. Witten
    Arithmetic Coding Revisited. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 1998, v:16, n:3, pp:256-294 [Journal]
  16. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
    Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:905-912 [Conf]
  17. Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis
    Modeling Dyadic Data with Binary Latent Factors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:977-984 [Conf]

  18. Gene function classification using Bayesian models with hierarchy-based priors. [Citation Graph (, )][DBLP]


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