A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
The purpose of instance selection is to reduce the data size while preserving as much useful information stored in the data as possible and detecting and removing the erroneous and redundant information. In this work, we analyze instance selection in regression tasks and apply the NSGA-II multi-objective evolutionary algorithm to direct the search for the optimal subset of the training dataset and the k-NN algorithm for evaluating the solutions during the selection process. A key advantage ofdoi:10.3390/e20100746 pmid:33265835 fatcat:66s4pka3wjhptpaztjqdirnut4
more »... e method is obtaining a pool of solutions situated on the Pareto front, where each of them is the best for certain RMSE-compression balance. We discuss different parameters of the process and their influence on the results and put special efforts to reducing the computational complexity of our approach. The experimental evaluation proves that the proposed method achieves good performance in terms of minimization of prediction error and minimization of dataset size.
 no no no no yes no no no Łapa and Cpałka  yes yes no yes yes yes yes yes Łapa and Cpałka  yes yes yes yes yes yes yes no Łapa et al. ...doi:10.5755/j01.itc.47.4.20795 fatcat:dg4rw4xyqvhlte2vrqx7ulphdm
Krystian Łapa is an associate professor in the Institute of Computational Intelligence at the Częstochowa University of Technology, where he received his PhD degree in 2015. ...doi:10.2478/amcs-2019-0044 fatcat:iam5q6sc4jgtll7b4ftwzsyg7q
Krystian ...doi:10.2478/jaiscr-2020-0011 fatcat:74bb7enztvfzpdfzvspitnggzm
Lecture Notes in Computer Science
In this paper a new approach for automatic design of control systems is presented. It is based on multi-population algorithms and allows to select not only parameters of control systems, but also its structure. Proposed approach was tested on a problem of stabilization of double spring-mass-damp object.doi:10.1007/978-3-319-19369-4_23 fatcat:a2qvw7c7vngu3cnaak6w4ittay
Unauthentifiziert | Heruntergeladen 17.12.19 04:08 UTC Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Krzysztof Przybyszewski, Gary G. Yen ...doi:10.2478/jaiscr-2020-0001 fatcat:foc6zfwtzffzha33ydtukzw524