| 2009 |
|---|
| 11 | EE | Jarkko Tikka:
Simultaneous input variable and basis function selection for RBF networks.
Neurocomputing 72(10-12): 2649-2658 (2009) |
| 10 | EE | Timo Similä,
Jarkko Tikka:
Combined input variable selection and model complexity control for nonlinear regression.
Pattern Recognition Letters 30(3): 231-236 (2009) |
| 2008 |
|---|
| 9 | EE | Jarkko Tikka,
Jaakko Hollmén:
Selection of important input variables for RBF network using partial derivatives.
ESANN 2008: 167-172 |
| 2007 |
|---|
| 8 | EE | Jarkko Tikka:
Input Selection for Radial Basis Function Networks by Constrained Optimization.
ICANN (1) 2007: 239-248 |
| 7 | EE | Jaakko Hollmén,
Jarkko Tikka:
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions.
IDA 2007: 1-12 |
| 6 | EE | Jarkko Tikka,
Jaakko Hollmén,
Samuel Myllykangas:
Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer.
IWANN 2007: 972-979 |
| 5 | EE | Timo Similä,
Jarkko Tikka:
Input selection and shrinkage in multiresponse linear regression.
Computational Statistics & Data Analysis 52(1): 406-422 (2007) |
| 2006 |
|---|
| 4 | EE | Jarkko Tikka,
Amaury Lendasse,
Jaakko Hollmén:
Analysis of Fast Input Selection: Application in Time Series Prediction.
ICANN (2) 2006: 161-170 |
| 3 | EE | Timo Similä,
Jarkko Tikka:
Common Subset Selection of Inputs in Multiresponse Regression.
IJCNN 2006: 1908-1915 |
| 2005 |
|---|
| 2 | EE | Timo Similä,
Jarkko Tikka:
Multiresponse Sparse Regression with Application to Multidimensional Scaling.
ICANN (2) 2005: 97-102 |
| 1 | EE | Jarkko Tikka,
Jaakko Hollmén,
Amaury Lendasse:
Input Selection for Long-Term Prediction of Time Series.
IWANN 2005: 1002-1009 |
