| Name : R-mildsvm
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.8.1
| Date : 2024-06-07 05:54:36
|
| Group : Development/Libraries/Other
| Source RPM : R-mildsvm-0.4.0-lp154.8.1.src.rpm
|
| Size : 0.45 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Multiple-Instance Learning with Support Vector Machines
|
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)
< arXiv:2206.14704> Xiao, Liu, and Hao (2018)
< doi:10.1109/TNNLS.2017.2766164> Muandet et al. (2012)
< https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>
Chu and Keerthi (2007) < doi:10.1162/neco.2007.19.3.792> and Andrews et
al. (2003)
< https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>.
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 < https://www.gurobi.com> after
obtaining a license.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
