Search the dblp DataBase
David Barber: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]
Publications of Author
- Silvia Chiappa, David Barber
generative independent component analysis for EEG classification. [Citation Graph (0, 0)][DBLP]
ESANN, 2005, pp:297-302 [Conf] - Felix V. Agakov, David Barber
Approximate Learning in Temporal Hidden Hopfield Models. [Citation Graph (0, 0)][DBLP]
ICANN, 2003, pp:107-114 [Conf] - Jean-Pascal Pfister, David Barber, Wulfram Gerstner
Optimal Hebbian Learning: A Probabilistic Point of View. [Citation Graph (0, 0)][DBLP]
ICANN, 2003, pp:92-98 [Conf] - Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber
A graphical model for chord progressions embedded in a psychoacoustic space. [Citation Graph (0, 0)][DBLP]
ICML, 2005, pp:641-648 [Conf] - Felix V. Agakov, David Barber
Variational Information Maximization for Neural Coding. [Citation Graph (0, 0)][DBLP]
ICONIP, 2004, pp:543-548 [Conf] - Felix V. Agakov, David Barber
An Auxiliary Variational Method. [Citation Graph (0, 0)][DBLP]
ICONIP, 2004, pp:561-566 [Conf] - Mike Perrow, David Barber
Tagging of name records for genealogical data browsing. [Citation Graph (0, 0)][DBLP]
JCDL, 2006, pp:316-325 [Conf] - Felix V. Agakov, David Barber
Kernelized Infomax Clustering. [Citation Graph (0, 0)][DBLP]
NIPS, 2005, pp:- [Conf] - David Barber
Learning in Spiking Neural Assemblies. [Citation Graph (0, 0)][DBLP]
NIPS, 2002, pp:149-156 [Conf] - David Barber
Dynamic Bayesian Networks with Deterministic Latent Tables. [Citation Graph (0, 0)][DBLP]
NIPS, 2002, pp:713-720 [Conf] - David Barber, Felix V. Agakov
The IM Algorithm: A Variational Approach to Information Maximization. [Citation Graph (0, 0)][DBLP]
NIPS, 2003, pp:- [Conf] - David Barber, Christopher M. Bishop
Bayesian Model Comparison by Monte Carlo Chaining. [Citation Graph (0, 0)][DBLP]
NIPS, 1996, pp:333-339 [Conf] - David Barber, Christopher M. Bishop
Ensemble Learning for Multi-Layer Networks. [Citation Graph (0, 0)][DBLP]
NIPS, 1997, pp:- [Conf] - David Barber, Bernhard Schottky
Radial Basis Functions: A Bayesian Treatment. [Citation Graph (0, 0)][DBLP]
NIPS, 1997, pp:- [Conf] - David Barber, Peter Sollich
Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks. [Citation Graph (0, 0)][DBLP]
NIPS, 1999, pp:393-399 [Conf] - David Barber, Christopher K. I. Williams
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. [Citation Graph (0, 0)][DBLP]
NIPS, 1996, pp:340-346 [Conf] - David Barber, Wim Wiegerinck
Tractable Variational Structures for Approximating Graphical Models. [Citation Graph (0, 0)][DBLP]
NIPS, 1998, pp:183-189 [Conf] - Peter Sollich, David Barber
Online Learning from Finite Training Sets: An Analytical Case Study. [Citation Graph (0, 0)][DBLP]
NIPS, 1996, pp:274-280 [Conf] - Peter Sollich, David Barber
On-line Learning from Finite Training Sets in Nonlinear Networks. [Citation Graph (0, 0)][DBLP]
NIPS, 1997, pp:- [Conf] - Felix V. Agakov, David Barber
Auxiliary Variational Information Maximization for Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
SLSFS, 2005, pp:103-114 [Conf] - Machiel Westerdijk, David Barber, Wim Wiegerinck
Deterministic Generative Models for Fast Feature Discovery. [Citation Graph (0, 0)][DBLP]
Data Min. Knowl. Discov., 2001, v:5, n:4, pp:337-363 [Journal] - Silvia Chiappa, David Barber
EEG classification using generative independent component analysis. [Citation Graph (0, 0)][DBLP]
Neurocomputing, 2006, v:69, n:7-9, pp:769-777 [Journal] - David Barber, Piërre van de Laar
Variational Cumulant Expansions for Intractable Distributions. [Citation Graph (0, 0)][DBLP]
J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:435-455 [Journal] - David Barber
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
Journal of Machine Learning Research, 2006, v:7, n:, pp:2515-2540 [Journal] - Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. [Citation Graph (0, 0)][DBLP]
Neural Computation, 2006, v:18, n:6, pp:1318-1348 [Journal] - Peter Sollich, David Barber
Online Learning from Finite Training Sets and Robustness to Input Bias. [Citation Graph (0, 0)][DBLP]
Neural Computation, 1998, v:10, n:8, pp:2201-2217 [Journal] - Christopher K. I. Williams, David Barber
Bayesian Classification With Gaussian Processes. [Citation Graph (0, 0)][DBLP]
IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:12, pp:1342-1351 [Journal] - David Barber, Silvia Chiappa
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:81-88 [Conf] - David Barber, Bertrand Mesot
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:89-96 [Conf]
Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations. [Citation Graph (, )][DBLP]
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices. [Citation Graph (, )][DBLP]
Search in 0.002secs, Finished in 0.305secs
| NOTICE1 |
|---|
| System may not be available sometimes or not working properly, since it is still in development with continuous upgrades |
| NOTICE2 |
|---|
| The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP |
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002