{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T05:41:04Z","timestamp":1732686064055,"version":"3.28.2"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T00:00:00Z","timestamp":1726963200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T00:00:00Z","timestamp":1726963200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,22]]},"DOI":"10.1109\/mlsp58920.2024.10734791","type":"proceedings-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T18:31:55Z","timestamp":1730745115000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Joint Optimization of Piecewise Linear Ensembles"],"prefix":"10.1109","author":[{"given":"Matt","family":"Raymond","sequence":"first","affiliation":[{"name":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angela","family":"Violi","sequence":"additional","affiliation":[{"name":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clayton","family":"Scott","sequence":"additional","affiliation":[{"name":"University of Michigan,Electrical Engineering and Computer Science,Michigan,USA,48109-2125"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.11.011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539412"},{"key":"ref3","article-title":"Global refinement of random forest","author":"Ren","year":"2015","journal-title":"IEEE CVPR"},{"key":"ref4","article-title":"Partition-wise linear models","volume-title":"NeurIPS","author":"Oiwa","year":"2014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12127-2_7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623635"},{"key":"ref7","article-title":"Universal feature selection for simultaneous interpretability of multitask datasets","author":"Raymond","year":"2024","journal-title":"arXiv"},{"issue":"2.2","key":"ref8","article-title":"Multi-task feature selection","volume":"2","author":"Obozinski","year":"2006","journal-title":"Statistics Department, UC Berkeley, Tech. Rep"},{"issue":"30","key":"ref9","article-title":"Group sparse optimization via lp,q regularization","volume":"18","author":"Hu","year":"2017","journal-title":"JMLR"},{"key":"ref10","article-title":"Representational similarity learning with application to brain networks","volume-title":"ICML","author":"Oswal","year":"2016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/9781009418164"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1561\/9781601987174"},{"key":"ref13","article-title":"A dirty model for multi-task learning","volume-title":"NeurIPS","author":"Jalali","year":"2010"},{"key":"ref14","article-title":"Semi-supervised learning using gaussian fields and harmonic functions","volume-title":"ICML","author":"Zhu","year":"2003"},{"key":"ref15","article-title":"PMLB v1.0: an open source dataset collection for benchmarking machine learning methods","author":"Joseph","year":"2021","journal-title":"arXiv"},{"issue":"5","key":"ref16","doi-asserted-by":"crossref","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"Friedman","year":"1999","journal-title":"Ann. Stat."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref18","article-title":"CatBoost: unbiased boosting with categorical features","volume-title":"NeurIPS","volume":"31","author":"Prokhorenkova","year":"2018"},{"key":"ref19","article-title":"SciKit-Learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"JMLR"},{"key":"ref20","article-title":"linear-tree","author":"Cerliani","year":"2022","journal-title":"PyPI"},{"journal-title":"2015, Software available from tensorflow.org","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"Dean","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref23","article-title":"Pytorch TabNet","author":"Carvalho Pinto","year":"2019","journal-title":"PyPI"},{"key":"ref24","article-title":"AE: A domain-agnostic platform for adaptive experimentation","volume-title":"NeurIPS Systems for ML Workshop","author":"Bakshy","year":"2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/089976605774320557"},{"journal-title":"2019, Github hash: b682ba9","article-title":"MuTaR: Multi-task regression in Python","author":"Janati","key":"ref26"}],"event":{"name":"2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2024,9,22]]},"location":"London, United Kingdom","end":{"date-parts":[[2024,9,25]]}},"container-title":["2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10734669\/10734712\/10734791.pdf?arnumber=10734791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T03:59:22Z","timestamp":1732679962000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10734791\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,22]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/mlsp58920.2024.10734791","relation":{},"subject":[],"published":{"date-parts":[[2024,9,22]]}}}