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mildsvm
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", "0.4.1") Attach the package and use:
library("mildsvm")
Maintained by
Sean Kent
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-14
Latest Update: 2025-09-01
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 0.4.1, https://cran.r-project.org/web/packages/mildsvm. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 0.4.0 (2022-07-14 11:00)
Other packages that cited mildsvm R package
View mildsvm citation profile
Other R packages that mildsvm depends,
imports, suggests or enhances
Complete documentation for mildsvm
Functions, R codes and Examples using
the mildsvm R package
Some associated functions: as_mi_df . as_mild_df . bag_instance_sampling . build_fm . build_instance_feature . classify_bags . cv_misvm . formatting . generate_mild_df . kfm_exact . kfm_nystrom . kme . mi . mi_df . mild . mild_df . mildsvm-package . mior . mismm . misvm . misvm_orova . omisvm . ordmvnorm . predict.cv_misvm . predict.mior . predict.mismm . predict.misvm . predict.misvm_orova . predict.omisvm . predict.smm . predict.svor_exc . smm . summarize_samples . svor_exc .
Some associated R codes: build_fm.R . cv_misvm.R . data.R . generate_mild_df.R . globals.R . kfm_exact.R . kfm_nystrom.R . kme.R . mi.R . mi_df.R . mild.R . mild_df.R . mildsvm-package.R . mior.R . mismm.R . misvm.R . misvm_orova.R . omisvm.R . smm.R . summarize_samples.R . svor_exc.R . utils-datarep.R . utils-model.R . utils-test.R . utils.R . Full mildsvm package functions and examples
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