In computer science, a selection algorithm is an algorithm for finding the k {\displaystyle k} th smallest value in a collection of ordered values, such...

Algorithm selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta-algorithmic technique to choose...

Selection is a genetic operator in an evolutionary algorithm (EA). An EA is a metaheuristic inspired by biological evolution and aims to solve challenging...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....

In computer science, selection sort is an in-place comparison sorting algorithm. It has a O(n2) time complexity, which makes it inefficient on large lists...

In computer science, a sorting algorithm is an algorithm that puts elements of a list into an order. The most frequently used orders are numerical order...

In artificial intelligence, a behavior selection algorithm, or action selection algorithm, is an algorithm that selects appropriate behaviors or actions...

algorithms are developed is called online optimization. As an example, consider the sorting algorithms selection sort and insertion sort: selection sort...

features and comparatively few samples (data points). A feature selection algorithm can be seen as the combination of a search technique for proposing...

proportionate selection, also known as roulette wheel selection or spinning wheel selection, is a selection technique used in evolutionary algorithms for selecting...

Tournament selection is a method of selecting an individual from a population of individuals in a evolutionary algorithm. Tournament selection involves...

Vanschoren, Joaquin (2016-08-01). "ASlib: A benchmark library for algorithm selection". Artificial Intelligence. 237: 41–58. arXiv:1506.02465. doi:10.1016/j...

artificial immune systems, clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains...

quicksort and other algorithms needing only O(log n) additional pointers are usually considered in-place algorithms. Most selection algorithms are also in-place...

Divine selection, selection by God Papal selection, selection by clergy Selection (user interface) X Window selection Selection (evolutionary algorithm) Selection...

Evolutionary algorithms (EA) reproduce essential elements of the biological evolution in a computer algorithm in order to solve "difficult" problems, at...

Truncation selection is a selection method in selective breeding and in evolutionary algorithms from computer science, which selects a certain share of...

governing algorithm selection: Is the algorithm readily automated, or conversely, is human interaction needed/expected? Most direct (closed form) algorithms have...

Relief is an algorithm developed by Kira and Rendell in 1992 that takes a filter-method approach to feature selection that is notably sensitive to feature...

medians is an approximate median selection algorithm, frequently used to supply a good pivot for an exact selection algorithm, most commonly quickselect, that...

An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems...

the best-suited algorithms are greedy. It is important, however, to note that the greedy algorithm can be used as a selection algorithm to prioritize options...

In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is a finite sequence of mathematically rigorous instructions, typically used to solve...

In computer science, quickselect is a selection algorithm to find the kth smallest element in an unordered list, also known as the kth order statistic...

The Viterbi algorithm is a dynamic programming algorithm for obtaining the maximum a posteriori probability estimate of the most likely sequence of hidden...

In computer science, k-way merge algorithms or multiway merges are a specific type of sequence merge algorithms that specialize in taking in k sorted lists...

learning process. Algorithms of instance selection can also be applied for removing noisy instances, before applying learning algorithms. This step can improve...

A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random...

The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior...

computer science, introselect (short for "introspective selection") is a selection algorithm that is a hybrid of quickselect and median of medians which...