Radford M. Neal
According to our database^{1},
Radford M. Neal
authored at least 23 papers
between 1983 and 2014.
Collaborative distances:
Collaborative distances:
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Bibliography
2014
Split Hamiltonian Monte Carlo.
Statistics and Computing, 2014
2009
Nonlinear Models Using Dirichlet Process Mixtures.
J. Mach. Learn. Res., 2009
2007
Pattern Recognition and Machine Learning.
Technometrics, 2007
Difference detection in LCMS data for protein biomarker discovery.
Bioinformatics, 2007
2006
Gene function classification using Bayesian models with hierarchybased priors.
BMC Bioinformatics, 2006
Modeling Dyadic Data with Binary Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2005
Classification with Bayesian Neural Networks.
Proceedings of the Machine Learning Challenges, 2005
2004
Multiple Alignment of Continuous Time Series.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Inferring State Sequences for Nonlinear Systems with Embedded Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
2001
Annealed importance sampling.
Statistics and Computing, 2001
2000
On Deducing Conditional Independence from dSeparation in Causal Graphs with Feedback (Research Note).
J. Artif. Intell. Res., 2000
Inference for Belief Networks Using Coupling From the Past.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
1997
Factor Analysis Using DeltaRule WakeSleep Learning.
Neural Computation, 1997
1996
Sampling from multimodal distributions using tempered transitions.
Statistics and Computing, 1996
1995
The Helmholtz machine.
Neural Computation, 1995
Arithmetic Coding Revisited.
Proceedings of the IEEE Data Compression Conference, 1995
1993
Comments on 'A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images'.
IEEE Trans. Information Theory, 1993
1992
Asymmetric Parallel Boltzmann Machines are Belief Networks.
Neural Computation, 1992
Connectionist Learning of Belief Networks.
Artif. Intell., 1992
Bayesian Learning via Stochastic Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1987
Arithmetic Coding for Data Compression.
Commun. ACM, 1987
1983
Jade: A Distributed Software Prototyping Environment.
Operating Systems Review, 1983