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Complementarily labeled learning via MIL-reduction

  • This repository gives the implementation of the experiment published in [1].
  1. Daiki Suehiro, Eiji Takimoto, "Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning", Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), 2022.8, to appear.

Requirement

  • R (version 3.4 or later.)
  • R Packages: "data.table", "compiler", and "Rcplex."
  • Software
    CPLEX provided by IBM.

To know how to install CPLEX and Rcplex, the following pages may be helpful for you:


Usage

source('demo_MIL4CLL.R')

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