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Elia Liitiäinen
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2010 – 2019
- 2016
- [j7]Belle Selene Xia, Elia Liitiäinen:
Implications of Higher Education on Earnings: An Empirical Analysis of Skills and Competence. Int. J. Adult Vocat. Educ. Technol. 7(1): 50-64 (2016) - 2011
- [j6]Elia Liitiäinen, Francesco Corona
, Amaury Lendasse
:
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Process. Lett. 34(2): 133-154 (2011) - 2010
- [j5]Elia Liitiäinen, Francesco Corona
, Amaury Lendasse
:
Residual variance estimation using a nearest neighbor statistic. J. Multivar. Anal. 101(4): 811-823 (2010) - [j4]Elia Liitiäinen, Amaury Lendasse
, Francesco Corona
:
A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms 37(2): 223-247 (2010)
2000 – 2009
- 2009
- [j3]Elia Liitiäinen, Michel Verleysen
, Francesco Corona
, Amaury Lendasse
:
Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009) - [j2]Francesco Corona
, Elia Liitiäinen, Amaury Lendasse
, Lorenzo Sassu, Stefano Melis, Roberto Baratti:
A SOM-based approach to estimating product properties from spectroscopic measurements. Neurocomputing 73(1-3): 71-79 (2009) - 2008
- [j1]Elia Liitiäinen, Francesco Corona
, Amaury Lendasse
:
On Nonparametric Residual Variance Estimation. Neural Process. Lett. 28(3): 155-167 (2008) - [c6]Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen:
Using the Delta Test for Variable Selection. ESANN 2008: 25-30 - 2007
- [c5]Elia Liitiäinen, Francesco Corona, Amaury Lendasse:
Nearest Neighbor Distributions and Noise Variance Estimation. ESANN 2007: 67-72 - [c4]Amaury Lendasse
, Elia Liitiäinen:
Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. IJCNN 2007: 2812-2816 - [c3]Elia Liitiäinen, Amaury Lendasse, Francesco Corona:
Non-parametric Residual Variance Estimation in Supervised Learning. IWANN 2007: 63-71 - 2006
- [c2]Elia Liitiäinen, Nima Reyhani, Amaury Lendasse:
EM-algorithm for training of state-space models with application to time series prediction. ESANN 2006: 137-142 - [c1]Elia Liitiäinen, Amaury Lendasse:
Long-Term Prediction of Time Series Using State-Space Models. ICANN (2) 2006: 181-190
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