RSSL

RSSL-package

A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.

internal

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

Jesse Krijthe

Implementations of Semi-Supervised Learning Approaches for
Classification

RSSL-package function

Maintainer: Jesse Krijthe <a href="/link/jkrijthe%40gmail.com?package=RSSL&version=0.9.7" data-mini-rdoc="RSSL::jkrijthe@gmail.com">jkrijthe@gmail.com</a>

Author

RSSL: Implementations of Semi-Supervised Learning Approaches for Classification — RSSL-package

Maintainer: Jesse Krijthe <a href='mailto:jkrijthe@gmail.com'>jkrijthe@gmail.com</a>

RSSL-package: RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Description

Arguments

Author

See Also