Sentence examples for algorithmic explanation from inspiring English sources

An algorithmic explanation of the PST algorithm is given in Appendix Appendix A for the convenience of the reader.

Frequently, from data scientist perspective, I find that analysis packages are lack of algorithmic explanation, particularly when it comes to statistical inference where error propagation and dependency cannot be presented by one single sigma.

The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.

Eva Tardos: Algorithms, algorithmic game theory.

Future theoretical biology is likely to represent a hybrid of parsimonious reasoning and algorithmic or rule-based explanation.

Her research focuses on data provenance, causality, explanations, data quality, and algorithmic fairness.

Bryce Goodman & Seth Flaxman (2016) European Union regulations on algorithmic decision-making and a "right to explanation", 2016 ICML Workshop on Human Interpretability in Machine Learning.

Convened by de Blasio, the task force will develop recommendations on a range of issues, including which types of algorithms should be regulated, how private citizens can "meaningfully assess" the algorithms' functions and gain an explanation of decisions that affect them personally, and how the government can address "instances in which a person is harmed" by algorithmic bias.

We will explore the proliferation of algorithmic decision-making, autonomous systems, and machine learning and explanation; the search for balance between regulation and innovation; and the effects of AI on the dissemination of information, along with questions related to individual rights, discrimination, and architectures of control.

In Europe, the European Union's new General Data Protection Regulation could restrict extreme forms of algorithmic determinism by giving users the opportunity to ask for an explanation of particular profiling-based algorithmic decisions.

Transparency and accountability are both tools to promote fair algorithmic decisions by providing the foundations for obtaining recourse to meaningful explanation, correction, or ways to ascertain faults that could bring about compensatory processes.