About Igor Chikalov Igor Chikalov Senior Research Scientist, Computer Science machine learning Research Interests Application of dynamic programming to building decision trees and decision rules Machine learning Design of algorithms and complexity analysis Selected Publications I. Chikalov, V. Lozin, I. Lozina, M. Moshkov, H.S. Nguyen, A. Skowron, B. Zielosko, Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data, Intelligent Systems Reference Library, Vol. 41, Springer, 2012 I. Chikalov, Average Time Complexity of Decision Trees, Intelligent Systems Reference Library, Vol. 21, Springer, 2011. I. Chikalov, P. Yao, M. Moshkov, J.C. Latombe, Learning Articles Related News November 2022 Decision Trees with Hypotheses 1 min read · Sun, Nov 20 2022 News New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
Decision Trees with Hypotheses 1 min read · Sun, Nov 20 2022 News New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
Related Sites Applied Mathematics and Computational Science (AMCS) Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES) Computer Science (CS) Related Content Articles 1