liquidSVM: A Fast and Versatile SVM package

22 February 2017

Papers citing "liquidSVM: A Fast and Versatile SVM package"

12 / 12 papers shown

Title
Snacks: a fast large-scale kernel SVM solver Sofiane Tanji Andrea Della Vecchia François Glineur S. Villa 29 0 0 17 Apr 2023
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 61 13 0 17 Jan 2022
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features F. Pargent Florian Pfisterer Janek Thomas B. Bischl 49 88 0 01 Apr 2021
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 96 116 0 18 Jun 2020
Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks Maximilian Pichler V. Boreux A. Klein M. Schleuning F. Hartig 42 101 0 26 Aug 2019
Improved Classification Rates for Localized SVMs Ingrid Blaschzyk Ingo Steinwart 34 5 0 04 May 2019
Supervised Fuzzy Partitioning Pooya Ashtari Fateme Nateghi Haredasht Hamid Beigy 45 8 0 15 Jun 2018
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions T. Kacprzak J. Herbel A. Amara Alexandre Réfrégier 136 26 0 24 Jul 2017
Spatial Decompositions for Large Scale SVMs P. Thomann Ingrid Blaschzyk Mona Meister Ingo Steinwart 56 21 0 01 Dec 2016
An SVM-like Approach for Expectile Regression M. Farooq Ingo Steinwart VLM 105 40 0 14 Jul 2015
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines Marc Claesen F. Smet Johan A. K. Suykens B. De Moor VLM 93 84 0 04 Mar 2014
GURLS: a Least Squares Library for Supervised Learning Andrea Tacchetti Pavan Kumar Mallapragada M. Santoro Lorenzo Rosasco 67 58 0 05 Mar 2013