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Jarkko Tikka
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2000 – 2009
- 2009
- [j4]Jarkko Tikka:
Simultaneous input variable and basis function selection for RBF networks. Neurocomputing 72(10-12): 2649-2658 (2009) - [j3]Timo Similä, Jarkko Tikka:
Combined input variable selection and model complexity control for nonlinear regression. Pattern Recognit. Lett. 30(3): 231-236 (2009) - 2008
- [j2]Jarkko Tikka, Jaakko Hollmén:
Sequential input selection algorithm for long-term prediction of time series. Neurocomputing 71(13-15): 2604-2615 (2008) - [c8]Jarkko Tikka, Jaakko Hollmén:
Selection of important input variables for RBF network using partial derivatives. ESANN 2008: 167-172 - 2007
- [j1]Timo Similä, Jarkko Tikka:
Input selection and shrinkage in multiresponse linear regression. Comput. Stat. Data Anal. 52(1): 406-422 (2007) - [c7]Jarkko Tikka:
Input Selection for Radial Basis Function Networks by Constrained Optimization. ICANN (1) 2007: 239-248 - [c6]Jaakko Hollmén, Jarkko Tikka:
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. IDA 2007: 1-12 - [c5]Jarkko Tikka, Jaakko Hollmén, Samuel Myllykangas:
Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. IWANN 2007: 972-979 - 2006
- [c4]Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén:
Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) 2006: 161-170 - [c3]Timo Similä, Jarkko Tikka:
Common Subset Selection of Inputs in Multiresponse Regression. IJCNN 2006: 1908-1915 - 2005
- [c2]Timo Similä, Jarkko Tikka:
Multiresponse Sparse Regression with Application to Multidimensional Scaling. ICANN (2) 2005: 97-102 - [c1]Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse:
Input Selection for Long-Term Prediction of Time Series. IWANN 2005: 1002-1009
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