Sentence examples for heuristic problem from inspiring English sources

Exact(3)

A sampling: You have a very big availability heuristic problem.

One of Turing's colleagues at Bletchley Park, Donald Michie (who later founded the Department of Machine Intelligence and Perception at the University of Edinburgh), later recalled that Turing often discussed how computers could learn from experience as well as solve new problems through the use of guiding principles a process now known as heuristic problem solving.

The models presented in essence provide a means of reverse engineering to the heuristic problem of NN design, in that given the variable parameters of a network architecture and its associated optimal learning performance based on the training data, an indication can be given as to when the network should stop training in order to provide the maximum level of generalisation.

Similar(57)

For larger projects with many activities, heuristic problem-specific solution methods beat generic black-box inexact solvers.

GA categorizes as a class of evolutionary algorithms (EA), which generate solutions to optimization and heuristic problems by techniques inspired by natural evolution, such as mutation, selection, and crossover.

An electronic template and accompanying educational materials designed to parallel the heuristic problem-solving activities of the IDR team led to improvements in IDR note completion rates from 27to69%9 %.

For this, after completing the sensitivity analysis, we used all resulting trees from all parameters for tree fusing [ 66]; a technique designed for avoiding heuristic problems [ 67].

Cognitive errors stem from failures in perception, failed heuristics (problem-solving techniques), biases, and emotions of the doctor who is diagnosing the patient.

The parallel algorithms might solve either moderate-size problems in an exact manner or, when combined with a heuristic, large problems in polynomial time.

They also maintained that it is a legitimate task for philosophy of science to develop a theory of heuristics or problem solving.

However, to improve the quality as well as the robustness of evolved heuristics, the problem domain knowledge is needed.

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