Multiresponse Sparse Regression with Application to Multidimensional Scaling. - Timo Similä; Jarkko Tikka (ICANN (2), 2005)

Input Selection for Long-Term Prediction of Time Series. - Jarkko Tikka; Jaakko Hollmén; Amaury Lendasse (IWANN, 2005)

Analysis of Fast Input Selection: Application in Time Series Prediction. - Jarkko Tikka; Amaury Lendasse; Jaakko Hollmén (ICANN (2), 2006)

Common Subset Selection of Inputs in Multiresponse Regression. - Timo Similä; Jarkko Tikka (IJCNN, 2006)

Input Selection for Radial Basis Function Networks by Constrained Optimization. - Jarkko Tikka (ICANN (1), 2007)

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. - Jaakko Hollmén; Jarkko Tikka (IDA, 2007)

Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. - Jarkko Tikka; Jaakko Hollmén; Samuel Myllykangas (IWANN, 2007)

Input selection and shrinkage in multiresponse linear regression. - Timo Similä; Jarkko Tikka (Comput. Stat. Data Anal., 2007)

Selection of important input variables for RBF network using partial derivatives. - Jarkko Tikka; Jaakko Hollmén (ESANN, 2008)

Sequential input selection algorithm for long-term prediction of time series. - Jarkko Tikka; Jaakko Hollmén (Neurocomputing, 2008)

Simultaneous input variable and basis function selection for RBF networks. - Jarkko Tikka (Neurocomputing, 2009)

Combined input variable selection and model complexity control for nonlinear regression. - Timo Similä; Jarkko Tikka (Pattern Recognit. Lett., 2009)