2007 |
11 | EE | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values.
ECML 2007: 691-698 |
10 | EE | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data.
ICONIP (1) 2007: 566-575 |
9 | EE | Antti Honkela,
Matti Tornio,
Tapani Raiko,
Juha Karhunen:
Natural Conjugate Gradient in Variational Inference.
ICONIP (2) 2007: 305-314 |
8 | EE | 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 | EE | Tapani Raiko,
Matti Tornio,
Antti Honkela,
Juha Karhunen:
State Inference in Variational Bayesian Nonlinear State-Space Models.
ICA 2006: 222-229 |
6 | EE | Kristian Kersting,
Luc De Raedt,
Tapani Raiko:
Logical Hidden Markov Models.
J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006) |
2005 |
5 | EE | Tapani Raiko:
Nonlinear Relational Markov Networks with an Application to the Game of Go.
ICANN (2) 2005: 989-996 |
4 | EE | 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 | EE | Kristian Kersting,
Tapani Raiko:
"Say EM" for Selecting Probabilistic Models for Logical Sequences.
UAI 2005: 300-307 |
2003 |
2 | EE | 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 | EE | Kristian Kersting,
Tapani Raiko,
Luc De Raedt:
Logical Hidden Markov Models (Extendes abstract).
Probabilistic Graphical Models 2002 |