Results 21 to 25 of about 400,613 (25)

Electre Tri-Machine Learning Approach to the Record Linkage Problem [PDF]

arXiv, 2015
In this short paper, the Electre Tri-Machine Learning Method, generally used to solve ordinal classification problems, is proposed for solving the Record Linkage problem. Preliminary experimental results show that, using the Electre Tri method, high accuracy can be achieved and more than 99% of the matches and nonmatches were correctly identified by ...
arxiv  

Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016) [PDF]

arXiv, 2016
This is the Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), which was held in New York, NY, June 23, 2016. Invited speakers were Susan Athey, Rich Caruana, Jacob Feldman, Percy Liang, and Hanna Wallach.
arxiv  

On conditional parity as a notion of non-discrimination in machine learning [PDF]

arXiv, 2017
We identify conditional parity as a general notion of non-discrimination in machine learning. In fact, several recently proposed notions of non-discrimination, including a few counterfactual notions, are instances of conditional parity. We show that conditional parity is amenable to statistical analysis by studying randomization as a general mechanism ...
arxiv  

Spatial Transfer Learning with Simple MLP [PDF]

arXiv
First step to investigate the potential of transfer learning applied to the field of spatial ...
arxiv  

On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation [PDF]

arXiv
We study a new technique for understanding convergence of learning agents under small modifications of data. We show that such convergence can be understood via an analogue of Fatou's lemma which yields gamma-convergence. We show it's relevance and applications in general machine learning tasks and domain adaptation transfer learning.
arxiv