 | 2009 |
| 12 |  | Tapani Raiko,
Matti Tornio:
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control.
Neurocomputing 72(16-18): 3704-3712 (2009) |
| 2007 |
| 11 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values.
ECML 2007: 691-698 |
| 10 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data.
ICONIP (1) 2007: 566-575 |
| 9 |  | Antti Honkela,
Matti Tornio,
Tapani Raiko,
Juha Karhunen:
Natural Conjugate Gradient in Variational Inference.
ICONIP (2) 2007: 305-314 |
| 8 |  | 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) |
| 2006 |
| 7 |  | Tapani Raiko,
Matti Tornio,
Antti Honkela,
Juha Karhunen:
State Inference in Variational Bayesian Nonlinear State-Space Models.
ICA 2006: 222-229 |
| 6 |  | Kristian Kersting,
Luc De Raedt,
Tapani Raiko:
Logical Hidden Markov Models.
J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006) |
| 2005 |
| 5 |  | Tapani Raiko:
Nonlinear Relational Markov Networks with an Application to the Game of Go.
ICANN (2) 2005: 989-996 |
| 4 |  | 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 |
| 3 |  | Kristian Kersting,
Tapani Raiko:
"Say EM" for Selecting Probabilistic Models for Logical Sequences.
UAI 2005: 300-307 |
| 2003 |
| 2 |  | Kristian Kersting,
Tapani Raiko,
Stefan Kramer,
Luc De Raedt:
Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
Pacific Symposium on Biocomputing 2003: 192-203 |
| 2002 |
| 1 |  | Kristian Kersting,
Tapani Raiko,
Luc De Raedt:
Logical Hidden Markov Models (Extendes abstract).
Probabilistic Graphical Models 2002 |