Category Archives: Uncategorized

FINAL submission deadline for IEEE WCCI 2016

IEEE WCCI 2016 has been extended till 31st January 2016, 24:00 EST Special Session on New Directions in Evolutionary Machine Learning 2016 IEEE Congress on Evolutionary Computation (WCCI2016/CEC2016 ) Vancouver, Canada, 25-29 July, 2016 [See previous post below for details of … Continue reading

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Special Session on New Directions in Evolutionary Machine Learning at WCCI/CEC 2016

Dear LCS, GBML, RBML and EML Researcher, Apologies for the multiple postings as WCCI/CEC has now approved the Special Sessions. Please forward this CFP to your colleagues, students, and those who may be interested. Thank you. Call for Papers Special … Continue reading

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John H. Holland

Sad news that John Holland passed away on the weekend. A warm obituary can be found here: http://www.santafe.edu/news/item/in-memoriam-john-holland/ Many people’s lives and research have been touched by his ideas and enthusiasm.  This site definitely would not exist without them. Curiously, … Continue reading

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CEC Deadline extension

Important Dates Paper submission deadline: December 19, 2014 January 16, 2015 (Extended) Paper acceptance notification: February 20, 2015 Final paper submission deadline: March 13, 2015 Conference dates: May 25-28, 2015 Special Session on New Directions in Evolutionary Machine Learning Motivation Evolutionary … Continue reading

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New Directions in Evolutionary Machine Learning at 2015 IEEE Congress on Evolutionary Computation (CEC 2015)

Call to submit a paper for the special session on New Directions in Evolutionary Machine Learning at 2015 IEEE Congress on Evolutionary Computation (CEC 2015) which will be held in Sendai, Japan at May 25-28, 2015. If you are interested … Continue reading

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ExSTraCS – Extended Supervised Tracking and Classifying System

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 … Continue reading

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Call For Papers Special Session: Evolutionary Feature Reduction The 10th International Conference on Simulated Evolution And Learning (SEAL 2014)

Call For Papers Special Session: Evolutionary Feature Reduction The 10th International Conference on Simulated Evolution And Learning (SEAL 2014) 15-18 December 2014, Dunedin, New Zealand http://seal2014.otago.ac.nz/ ================ Large numbers of features/attributes are often problematic in machine learning and data mining. … Continue reading

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CFP: Evolutionary Machine Learning track at GECCO-2014

** Apologies for multiple postings ** *********************************************************************** ** CALL FOR PAPERS                                                                                             ** ** 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE   (GECCO-2014) ** ** Evolutionary Machine Learning track                                                             ** ** July 12-16, 2014, Vancouver, BC, Canada                                                       ** ** Organized by ACM SIGEVO                                                                               … Continue reading

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Python Code for Generating Multiplexer Data and Datasets

Generate_Multiplexer A short python script with methods to allow the user to easily generate n-mulitplexer problem data.  Users can either generate single instances, datasets with a specified number of random instances, or complete datasets of all unique multiplexer instances (memory … Continue reading

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Python Code for EK_AF_UCS_2.0 Now Available

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., … Continue reading

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