| 2007 |
|---|
| 8 | EE | Bart Bakker,
Tom Heskes:
Learning and approximate inference in dynamic hierarchical models.
Computational Statistics & Data Analysis 52(2): 821-839 (2007) |
| 2006 |
|---|
| 7 | EE | Hauke Schramm,
Xavier L. Aubert,
Bart Bakker,
Carsten Meyer,
Hermann Ney:
Modeling spontaneous speech variability in professional dictation.
Speech Communication 48(5): 493-515 (2006) |
| 2003 |
|---|
| 6 | EE | Bart Bakker,
Tom Heskes:
Task Clustering and Gating for Bayesian Multitask Learning.
Journal of Machine Learning Research 4: 83-99 (2003) |
| 5 | EE | Tom Heskes,
Jan-Joost Spanjers,
Bart Bakker,
Wim Wiegerinck:
Optimising newspaper sales using neural-Bayesian technology.
Neural Computing and Applications 12(3-4): 212-219 (2003) |
| 4 | EE | Bart Bakker,
Tom Heskes:
Clustering ensembles of neural network models.
Neural Networks 16(2): 261-269 (2003) |
| 2002 |
|---|
| 3 | EE | Bart Bakker,
Tom Heskes:
Model Clustering for Neural Network Ensembles.
ICANN 2002: 383-388 |
| 2 | | Tom Heskes,
Bart Bakker,
Bert Kappen:
Approximate algorithms for neural-Bayesian approaches.
Theor. Comput. Sci. 287(1): 219-238 (2002) |
| 1999 |
|---|
| 1 | EE | Bart Bakker,
Tom Heskes:
Model clustering by deterministic annealing.
ESANN 1999: 87-92 |
