Assuring the machine learning lifecycle: Desiderata, methods, and challenges

R Ashmore, R Calinescu, C Paterson - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

R Ashmore, R Calinescu, C Paterson - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Abstract Machine learning has evolved into an enabling technology for a wide range of
highly successful applications. The potential for this success to continue and accelerate has …

[PDF][PDF] Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

ROB ASHMORE, R CALINESCU, C PATERSON - researchgate.net
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Page 1 This
is a repository copy of Assuring the Machine Learning Lifecycle: Desiderata, Methods, and …

[PDF][PDF] Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

ROB ASHMORE, R CALINESCU… - arXiv preprint arXiv …, 2019 - academia.edu
Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

[PDF][PDF] Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

ROB ASHMORE, R CALINESCU, C PATERSON - core.ac.uk
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Page 1 This
is a repository copy of Assuring the Machine Learning Lifecycle: Desiderata, Methods, and …

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

C Paterson, R Calinescu… - ACM Computing …, 2021 - eprints.whiterose.ac.uk
Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

R Ashmore, R Calinescu, C Paterson - arXiv preprint arXiv:1905.04223, 2019 - arxiv.org
Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

C Paterson, R Calinescu, R Ashmore - ACM Computing Surveys, 2021 - pure.york.ac.uk
Abstract Machine learning has evolved into an enabling technology for a wide range of
highly successful applications. The potential for this success to continue and accelerate has …

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

R Ashmore, R Calinescu, C Paterson - 2019 - pure.york.ac.uk
Abstract Machine learning has evolved into an enabling technology for a wide range of
highly successful applications. The potential for this success to continue and accelerate has …

[PDF][PDF] Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

ROB ASHMORE, R CALINESCU, C PATERSON - eprints.whiterose.ac.uk
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Page 1 This is a
repository copy of Assuring the Machine Learning Lifecycle: Desiderata, Methods, and …