Sentence examples for an algorithmic process from inspiring English sources

Evolution is an algorithmic process applied to populations of individuals.

In this paper, we introduce an algorithmic process to associate Leibniz algebras with combinatorial structures.

It is the dream of total ease, of the confidence that there is an efficient way to calculate nearly everything, "from cures to deadly diseases to the nature of the universe," even "an algorithmic process to recognize greatness".

In Los Angeles, she studied an algorithmic process that creates a vulnerability score for homeless people and seeks to match them with resources, a process that requires participants to offer a considerable amount of personal and self-incriminating information.

Given a collection of references and similarity measures defined above, we still design an algorithmic process to traverse and compare all identity pairs and eventually reveal all underlying individuals.

The design process is similarly streamlined via an algorithmic process called parametric design that allows design changes to be rules-based and thus user-controlled by a slider, too.

The ultimate goal of this process was to create a single algorithmic process to classify a breast tumour into one of the six clinical classes, while reducing the number of unclassified patients to a minimum.

One map shows how everything - from the links we post on Facebook, to the pages we like, to our online behaviour in many other corners of cyber-space that are owned or interact with the company (Instagram, WhatsApp or sites that merely use your Facebook log-in) - could all be entering a giant algorithmic process.

An ultrasound image is created in silico using the same physical and algorithmic process used in an ultrasound scanner: a series of pulses are transmitted through heterogeneous scattering tissue and the received echoes are used in a delay-and-sum beamforming algorithm to generate images.

As compared to results from the literature, our algorithmic process allows an increase in efficiency while, for larger models (up to 20 parameters), we attain a 90% D-efficiency level.

Herein, we describe the logic and algorithmic process for a heuristic embedding strategy named "Adaptive GDDA-BLAST".