Search Results for: Urbanowicz

Submission open until: October 31, 2024 Guest Editors Anthony Stein, Tenure Track Professor of Artificial Intelligence in Agricultural Engineering, University of Hohenheim, Germany Ryan Urbanowicz, Assistant Professor of Computational Biomedicine, Cedars-Sinai, Los Angeles, CA Will Browne, Professor and Chair of​​ Manufacturing Robotics, Queensland University of Technology, Brisbane, Australia Learning Classifier Systems (LCSs) are one of, … Continue reading “Special Issue on the ‘30th Anniversary of XCS’”

Ryan Urbanowicz is pleased to announce an advanced LCS for datamining:   This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of … Continue reading “ExSTraCS – Extended Supervised Tracking and Classifying System”

EK_AF_UCS_2.0 We have organized, annotated, and cleaned up the code for our published Michigan-Style Learning Classifier System implementations.  EK_AF_UCS stands for Expert Knowledge and Attribute Feedback Supervised Classifier System.  The above code was utilized in the following publication: Tan, J., Moore, JH., Urbanowicz, R. Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised … Continue reading “Python Code for EK_AF_UCS_2.0 Now Available”

AF_UCS_2.0_Multicore_Parallelization We have organized, annotated, and cleaned up the code for our published Michigan-Style Learning Classifier System implementations.  AF_UCS stands for Attribute Feedback Supervised Classifier System.  The above code was utilized in the following publications: Rudd, J., Moore, JH., Urbanowicz, R. A simple multi-core parallelization strategy for learning classifier system evaluation. Proceeding of the fifteenth … Continue reading “Python Code for AF_UCS_2.0 with Multicore Parallelization Now Available”

EK_AF_UCS_1.0 We have organized, annotated, and cleaned up the code for our published Michigan-Style Learning Classifier System implementations.  EK_AF_UCS stands for Expert Knowledge and Attribute Feedback Supervised Classifier System.  The above code was utilized in the following publications: Urbanowicz, R., Andrew, A., Karagas, M., Moore, J. Role of genetic heterogeneity and epistasis in bladder cancer … Continue reading “Python Code for EK_AF_UCS_1.0 Now Available”

AF_UCS_1.0 We have organized, annotated, and cleaned up the code for our published Michigan-Style Learning Classifier System implementations.  AF_UCS stands for Attribute Feedback Supervised Classifier System.  The above code was utilized in the following publications: Urbanowicz, R., Granizo-Mackenzie, A., Moore, J. An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. … Continue reading “Python Code for AF_UCS_1.0 Now Available”