Genetics-Based Machine Learning to Evolutionary Machine Learning

Genetics-Based Machine Learning to Evolutionary Machine Learning

Session Chair: To be assigned

Session Chair: To be assigned

06/07, 11:15 - 13:15, Room 5

06/07, 11:15 - 13:15, Room 5

• Neuroevolution-Based Inverse Reinforcement Learning. Karan Budhraja and Tim Oates
• Landscape Estimation of Decision-tree Induction based on Grammatical Evolution using Rank Correlation. Keiko Ono and Jun-ichi Kushida
• Applying Variance-based Learning Classifier System without Convergence of Reward Estimation into Various Reward Distribution. Takato Tatsumi, Hiroyuki Sato, Tim Kovacs and Keiki Takadama
• Document Clustering with Evolved Search Queries. Laurence Hirsch and Alessandro Di Nuovo
• A Local Search Method for Graph Clustering Heuristics based on Partitional Distribution Learning. Diana Manjarres, Itziar Landa and Javier Del Ser
• Solving Binary Classification Problems with Carbon Nanotube / Liquid Crystal Composites and Evolutionary Algorithms. Eleonore Vissol-Gaudin, Apostolos Kotsialos, Christopher Groves, M. Kieran Massey, Christopher Pearson, Dagou A. Zeze and Michael C. Petty