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mildsvm  

Multiple-Instance Learning with Support Vector Machines
View on CRAN: Click here


Download and install mildsvm package within the R console
Install from CRAN:
install.packages("mildsvm")

Install from Github:
library("remotes")
install_github("cran/mildsvm")

Install by package version:
library("remotes")
install_version("mildsvm", "0.4.0")



Attach the package and use:
library("mildsvm")
Maintained by
Sean Kent
[Scholar Profile | Author Map]
First Published: 2022-07-14
Latest Update: 2022-07-14
Description:
Weakly supervised (WS), multiple instance (MI) data lives in numerous interesting applications such as drug discovery, object detection, and tumor prediction on whole slide images. The 'mildsvm' package provides an easy way to learn from this data by training Support Vector Machine (SVM)-based classifiers. It also contains helpful functions for building and printing multiple instance data frames. The core methods from 'mildsvm' come from the following references: Kent and Yu (2022) ; Xiao, Liu, and Hao (2018) ; Muandet et al. (2012) ; Chu and Keerthi (2007) ; and Andrews et al. (2003) . Many functions use the 'Gurobi' optimization back-end to improve the optimization problem speed; the 'gurobi' R package and associated software can be downloaded from after obtaining a license.
How to cite:
Sean Kent (2022). mildsvm: Multiple-Instance Learning with Support Vector Machines. R package version 0.4.0, https://cran.r-project.org/web/packages/mildsvm. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for mildsvm
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