1.a set of rules for solving a problem in a finite number of steps, as for finding the greatest common divisor. 2.a sequence of steps designed for programming a computer to solve a specific problem. [1890–95; alter. ofalgorism, by association with Greekarithmósnumber. comparearithmetic]...
Halalai et al. (Halalai et al., 2010) proposed a distributed method to detect the hidden communities present inside the network using the genetic algorithm. This method uses two different fitness functions in order to analyze the efficiency and adaptability. The time complexity for execution is ...
百度试题 结果1 题目In AI, the term "algorithm" refers to a set of rules or steps used to perform a specific task or solve a particular problem, such as ___.相关知识点: 试题来源: 解析 答案:Sorting data 反馈 收藏
performing model. Based on domain expertise, there is usually a small set of AI algorithms that perform well in a given domain. But, each of these algorithms must be tried and evaluated. This article explores approaches for automatically finding an appropriate algorithm for use in AI model ...
Let’s demystify Algorithms and Artificial Intelligence (AI)Benefits and challenges for auditors to considerAlgorithms may benefit individuals in many ways, from helping us determine what products to buy to providing us the fastest route to work—but algorithms may also improve efficiencies on a ...
Vaisnav Roy, Ankit Desai, in Cognitive Big Data Intelligence with a Metaheuristic Approach, 2022 3 Greedy algorithm as the heuristic Greedy search algorithm is an effectual tool, which is generally used for optimization problems. The important steps of all greedy algorithms are as follows: 1. Cho...
The meaning of ALGORITHM is a procedure for solving a mathematical problem (as of finding the greatest common divisor) in a finite number of steps that frequently involves repetition of an operation; broadly : a step-by-step procedure for solving a probl
The selection sort works as follows: you look through the entire array for the smallest element, once you find it you swap it (the smallest element) with the first element of the array. Then you look for the smallest element in the remaining array (an array without the first element) and...
AIKA (Artificial Intelligence for Knowledge Acquisition) is a new type of artificial neural network designed to mimic the behavior of a biological brain more closely and to bridge the gap to classical AI. A key design decision in the AIKA network is to conceptually separate the activations from ...
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