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