Bart Bakker (Selection)

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8 Bart Bakker, Tom Heskes: Learning and approximate inference in dynamic hierarchical models. Computational Statistics & Data Analysis 52(2): 821-839 (2007)

6 Bart Bakker, Tom Heskes: Task Clustering and Gating for Bayesian Multitask Learning. Journal of Machine Learning Research 4: 83-99 (2003)

5 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 Bart Bakker, Tom Heskes: Clustering ensembles of neural network models. Neural Networks 16(2): 261-269 (2003)

3 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)

1 Bart Bakker, Tom Heskes: Model clustering by deterministic annealing. ESANN 1999: 87-92

Selection of 7 from 8 records - Bart Bakker has 8 coauthors

8		Bart Bakker, Tom Heskes: Learning and approximate inference in dynamic hierarchical models. Computational Statistics & Data Analysis 52(2): 821-839 (2007)
6		Bart Bakker, Tom Heskes: Task Clustering and Gating for Bayesian Multitask Learning. Journal of Machine Learning Research 4: 83-99 (2003)
5		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		Bart Bakker, Tom Heskes: Clustering ensembles of neural network models. Neural Networks 16(2): 261-269 (2003)
3		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)
1		Bart Bakker, Tom Heskes: Model clustering by deterministic annealing. ESANN 1999: 87-92