 | 2012 |
| 23 |  | Jaakko Luttinen,
Alexander Ilin:
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.
Journal of Machine Learning Research - Proceedings Track 22: 741-750 (2012) |
| 2011 |
| 22 |  | Jozsef Hegedus,
Yoan Miche,
Alexander Ilin,
Amaury Lendasse:
Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers.
CIS 2011: 1016-1023 |
| 21 |  | KyungHyun Cho,
Alexander Ilin,
Tapani Raiko:
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines.
ICANN (1) 2011: 10-17 |
| 20 |  | KyungHyun Cho,
Tapani Raiko,
Alexander Ilin:
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.
ICML 2011: 105-112 |
| 2010 |
| 19 |  | KyungHyun Cho,
Tapani Raiko,
Alexander Ilin:
Parallel tempering is efficient for learning restricted Boltzmann machines.
IJCNN 2010: 1-8 |
| 18 |  | Alexander Ilin,
Tapani Raiko:
Practical Approaches to Principal Component Analysis in the Presence of Missing Values.
Journal of Machine Learning Research 11: 1957-2000 (2010) |
| 17 |  | Jaakko Luttinen,
Alexander Ilin:
Transformations in variational Bayesian factor analysis to speed up learning.
Neurocomputing 73(7-9): 1093-1102 (2010) |
| 2009 |
| 16 |  | Jaakko Luttinen,
Alexander Ilin,
Tapani Raiko:
Transformations for variational factor analysis to speed up learning.
ESANN 2009 |
| 15 |  | Jaakko Luttinen,
Alexander Ilin,
Juha Karhunen:
Bayesian Robust PCA for Incomplete Data.
ICA 2009: 66-73 |
| 14 |  | Alexander Ilin,
Alexey Kaplan:
Bayesian PCA for reconstruction of historical sea surface temperatures.
IJCNN 2009: 1322-1327 |
| 13 |  | Jaakko Luttinen,
Alexander Ilin:
Variational Gaussian-process factor analysis for modeling spatio-temporal data.
NIPS 2009: 1177-1185 |
| 2007 |
| 12 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values.
ECML 2007: 691-698 |
| 11 |  | Tapani Raiko,
Alexander Ilin,
Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data.
ICONIP (1) 2007: 566-575 |
| 10 |  | Antti Honkela,
Harri Valpola,
Alexander Ilin,
Juha Karhunen:
Blind separation of nonlinear mixtures by variational Bayesian learning.
Digital Signal Processing 17(5): 914-934 (2007) |
| 2006 |
| 9 |  | Alexander Ilin:
Independent dynamics subspace analysis.
ESANN 2006: 345-350 |
| 8 |  | Sergey Borisov,
Alexander Ilin,
Ricardo Vigário,
Erkki Oja:
Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG.
ICA 2006: 430-437 |
| 7 |  | Alexander Ilin,
Harri Valpola,
Erkki Oja:
Extraction of Components with Structured Variance.
IJCNN 2006: 5110-5117 |
| 6 |  | Alexander Ilin,
Harri Valpola,
Erkki Oja:
Exploratory analysis of climate data using source separation methods.
Neural Networks 19(2): 155-167 (2006) |
| 2005 |
| 5 |  | Alexander Ilin,
Harri Valpola:
Frequency-Based Separation of Climate Signals.
PKDD 2005: 519-526 |
| 4 |  | Andrei M. Sukhov,
Prasad Calyam,
Warren Daly,
Alexander Ilin:
Towards an Analytical Model for Characterizing Behavior of High-Speed VVoIP Applications.
TNC 2005 |
| 3 |  | Alexander Ilin,
Harri Valpola:
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models.
Neural Processing Letters 22(2): 183-204 (2005) |
| 2004 |
| 2 |  | Alexander Ilin,
Antti Honkela:
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning.
ICA 2004: 766-773 |
| 1 |  | Alexander Ilin,
Harri Valpola,
Erkki Oja:
Nonlinear dynamical factor analysis for state change detection.
IEEE Transactions on Neural Networks 15(3): 559-575 (2004) |