( en | de | ru )

 

Disambiguation of "du Plessis, Marthinus Christoffel"

Author of the publication

copydeleteadd this publication to your clipboard
Positive-Unlabeled Learning with Non-Negative Risk Estimator.

, , , and . NIPS, page 1675-1685. (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Samuel Ignatius Du Plessis

Barend Jacobus Du Plessis

David Jacobus Du Plessis

Stephanus Johannes Du Plessis

Samuel Ignatius Marinus Du Plessis

 

Other publications of authors with the same name

Class-prior Estimation for Learning from Positive and Unlabeled Data., , and . ACML, volume 45 of JMLR Workshop and Conference Proceedings, page 221-236. JMLR.org, (2015)Online Direct Density-Ratio Estimation Applied to Inlier-Based Outlier Detection., , and . Neural Comput., 27 (9): 1899-1914 (2015)Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching., and . ICML, icml.cc / Omnipress, (2012)Analysis of Learning from Positive and Unlabeled Data., , and . NIPS, page 703-711. (2014)Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2998-3006. PMLR, (2017)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , and . Neural Comput., (2018)Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning., , , , , , and . J. Comput. Sci. Eng., 7 (2): 99-111 (2013)Positive-Unlabeled Learning with Non-Negative Risk Estimator., , , and . NIPS, page 1675-1685. (2017)Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances., , and . TAAI, page 1-6. IEEE Computer Society, (2013)Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 669-677. JMLR.org, (2014)