{"project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"has_accepted_license":"1","oa":"1","abstract":[{"text":"Automated machine learning (AutoML) seeks to automatically select, compose, and parametrize machine learning algorithms, so as to achieve optimal performance on a given task (dataset). Although current approaches to AutoML have already produced impressive results, the field is still far from mature, and new techniques are still being developed. In this paper, we present ML-Plan, a new approach to AutoML based on hierarchical planning. To highlight the potential of this approach, we compare ML-Plan to the state-of-the-art frameworks Auto-WEKA, auto-sklearn, and TPOT. In an extensive series of experiments, we show that ML-Plan is highly competitive and often outperforms existing approaches.","lang":"eng"}],"file_date_updated":"2018-11-02T15:32:16Z","keyword":["AutoML","Hierarchical Planning","HTN planning","ML-Plan"],"date_created":"2018-07-08T14:06:14Z","ddc":["000"],"publication_status":"epub_ahead","doi":"10.1007/s10994-018-5735-z","file":[{"success":1,"file_name":"ML-PlanAutomatedMachineLearnin.pdf","file_id":"5306","relation":"main_file","content_type":"application/pdf","access_level":"closed","creator":"ups","file_size":1070937,"date_updated":"2018-11-02T15:32:16Z","date_created":"2018-11-02T15:32:16Z"}],"page":"1495-1515","year":"2018","status":"public","author":[{"first_name":"Felix","last_name":"Mohr","full_name":"Mohr, Felix"},{"id":"33176","last_name":"Wever","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"publisher":"Springer","department":[{"_id":"355"},{"_id":"34"},{"_id":"7"},{"_id":"26"}],"publication_identifier":{"issn":["0885-6125"],"eissn":["1573-0565"]},"_id":"3510","title":"ML-Plan: Automated Machine Learning via Hierarchical Planning","citation":{"bibtex":"@article{Mohr_Wever_Hüllermeier_2018, title={ML-Plan: Automated Machine Learning via Hierarchical Planning}, DOI={<a href=\"https://doi.org/10.1007/s10994-018-5735-z\">10.1007/s10994-018-5735-z</a>}, journal={Machine Learning}, publisher={Springer}, author={Mohr, Felix and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2018}, pages={1495–1515} }","short":"F. Mohr, M.D. Wever, E. Hüllermeier, Machine Learning (2018) 1495–1515.","chicago":"Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “ML-Plan: Automated Machine Learning via Hierarchical Planning.” <i>Machine Learning</i>, 2018, 1495–1515. <a href=\"https://doi.org/10.1007/s10994-018-5735-z\">https://doi.org/10.1007/s10994-018-5735-z</a>.","ieee":"F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” <i>Machine Learning</i>, pp. 1495–1515, 2018, doi: <a href=\"https://doi.org/10.1007/s10994-018-5735-z\">10.1007/s10994-018-5735-z</a>.","mla":"Mohr, Felix, et al. “ML-Plan: Automated Machine Learning via Hierarchical Planning.” <i>Machine Learning</i>, Springer, 2018, pp. 1495–515, doi:<a href=\"https://doi.org/10.1007/s10994-018-5735-z\">10.1007/s10994-018-5735-z</a>.","ama":"Mohr F, Wever MD, Hüllermeier E. ML-Plan: Automated Machine Learning via Hierarchical Planning. <i>Machine Learning</i>. Published online 2018:1495-1515. doi:<a href=\"https://doi.org/10.1007/s10994-018-5735-z\">10.1007/s10994-018-5735-z</a>","apa":"Mohr, F., Wever, M. D., &#38; Hüllermeier, E. (2018). ML-Plan: Automated Machine Learning via Hierarchical Planning. <i>Machine Learning</i>, 1495–1515. <a href=\"https://doi.org/10.1007/s10994-018-5735-z\">https://doi.org/10.1007/s10994-018-5735-z</a>"},"user_id":"5786","main_file_link":[{"open_access":"1","url":"https://rdcu.be/3Nc2"}],"language":[{"iso":"eng"}],"publication":"Machine Learning","conference":{"end_date":"2018-09-14","start_date":"2018-09-10","location":"Dublin, Ireland","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases"},"date_updated":"2022-01-06T06:59:21Z","type":"journal_article","article_type":"original"}