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Bart Bakker
2000 – 2009
- 2007
[j6]Bart Bakker, Tom Heskes: Learning and approximate inference in dynamic hierarchical models. Computational Statistics & Data Analysis 52(2): 821-839 (2007)- 2006
[j5]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)- 2005
[c3]Bart Bakker, Carsten Meyer, Xavier L. Aubert: Fast unsupervised speaker adaptation through a discriminative eigen-MLLR algorithm. INTERSPEECH 2005: 257-260- 2003
[j4]Bart Bakker, Tom Heskes: Task Clustering and Gating for Bayesian Multitask Learning. Journal of Machine Learning Research 4: 83-99 (2003)
[j3]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)
[j2]Bart Bakker, Tom Heskes: Clustering ensembles of neural network models. Neural Networks 16(2): 261-269 (2003)- 2002
[j1]Tom Heskes, Bart Bakker, Bert Kappen: Approximate algorithms for neural-Bayesian approaches. Theor. Comput. Sci. 287(1): 219-238 (2002)
[c2]
1990 – 1999
- 1999
[c1]
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last updated on 2012-09-10 15:46 CEST by the dblp team



