{"title":"Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System","authors":"J. Bacardit, J. M. Guiu","doi":"10.1007/978-3-540-71231-2_5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":113294,"journal":{"name":"International Workshop on Learning Classifier Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"82","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Learning Classifier Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-540-71231-2_5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}