Journal Machine Learning Machine Learning is an international forum focusing on computational approaches to learning. Publishing model Hybrid Journal Impact Factor 4.3 (2023) Downloads 1.3M (2023) Submission to first decision (median) 16 days
Majority vote ensembles of conformal predictors Giovanni Cherubin OriginalPaper Open access 31 August 2018 Pages: 475 - 488
Conformal and probabilistic prediction with applications: editorial Alexander GammermanVladimir VovkLars Carlsson EditorialNotes 28 August 2018 Pages: 379 - 380
Combination of inductive mondrian conformal predictors Paolo ToccaceliAlexander Gammerman OriginalPaper Open access 22 August 2018 Pages: 489 - 510
Automatic face recognition with well-calibrated confidence measures Charalambos EliadesLadislav LencHarris Papadopoulos OriginalPaper 20 August 2018 Pages: 511 - 534
Efficient Venn predictors using random forests Ulf JohanssonTuve LöfströmHenrik Boström OriginalPaper Open access 20 August 2018 Pages: 535 - 550
Nonparametric predictive distributions based on conformal prediction Vladimir VovkJieli ShenMin-ge Xie OriginalPaper Open access 17 August 2018 Pages: 445 - 474
Online aggregation of unbounded losses using shifting experts with confidence Vladimir V’yuginVladimir Trunov OriginalPaper 14 August 2018 Pages: 425 - 444
Rethinking statistical learning theory: learning using statistical invariants Vladimir VapnikRauf Izmailov OriginalPaper 18 July 2018 Pages: 381 - 423