 | 2010 |
|---|
| 9 |       | Juan C. Cuevas-Tello,
Peter Tino,
Somak Raychaudhury,
Xin Yao,
Markus Harva:
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.
Pattern Recognition 43(3): 1165-1179 (2010) |
| 2009 |
|---|
| 8 | | Juan C. Cuevas-Tello,
Peter Tino,
Somak Raychaudhury,
Xin Yao,
Markus Harva:
Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application
CoRR abs/0908.3706: (2009) |
| 2008 |
|---|
| 7 | | Markus Harva,
Somak Raychaudhury:
Bayesian estimation of time delays between unevenly sampled signals.
Neurocomputing 72(1-3): 32-38 (2008) |
| 2007 |
|---|
| 6 | | Tapani Raiko,
Harri Valpola,
Markus Harva,
Juha Karhunen:
Building Blocks for Variational Bayesian Learning of Latent Variable Models.
Journal of Machine Learning Research 8: 155-201 (2007) |
| 5 | | Markus Harva:
A variational EM approach to predictive uncertainty.
Neural Networks 20(4): 550-558 (2007) |
| 4 | | Markus Harva,
Ata Kabán:
Variational learning for rectified factor analysis.
Signal Processing 87(3): 509-527 (2007) |
| 2006 |
|---|
| 3 | | Markus Harva:
A Variational EM Approach to Predicting Uncertainty in Supervised Learning.
IJCNN 2006: 5342-5346 |
| 2005 |
|---|
| 2 | | Markus Harva,
Tapani Raiko,
Antti Honkela,
Harri Valpola,
Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
UAI 2005: 259-266 |
| 2004 |
|---|
| 1 | | Harri Valpola,
Markus Harva,
Juha Karhunen:
Hierarchical models of variance sources.
Signal Processing 84(2): 267-282 (2004) |
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