algorithm

C6819
concept

An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.

All labels observed (117)

Label Occurrences
algorithm canonical 34
reinforcement learning algorithm 20
graph algorithm 9

Description generation (CDg)

The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.

Instruction
generate a one-sentence description for a given conceptual class.
# Response Format
Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: algorithm
Generated description
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.

Instances (159)

Instance Via concept surface
Tomohiko Sakamoto’s algorithm
Cantor–Zassenhaus algorithm probabilistic algorithm
Euclidean algorithm for polynomials
WSClock page replacement algorithm page replacement algorithm
Diffusing Update Algorithm distributed algorithm
PageRank algorithm
surface form: PageRank
link analysis algorithm
Aho–Corasick algorithm string-searching algorithm
Benettin algorithm numerical algorithm
Bartels–Stewart algorithm numerical algorithm
Jacobi eigenvalue algorithm numerical algorithm
Lanczos algorithm numerical algorithm
Adam optimization algorithm
Adam optimization algorithm
Zab protocol consensus algorithm
unscented Kalman filter nonlinear state estimation algorithm
AKS primality test deterministic algorithm
Miller primality test randomized algorithm
neural fitted Q-iteration (NFQ)
surface form: Neural Fitted Q-Iteration
reinforcement learning algorithm
Dan Horgan
surface form: Rainbow: Combining Improvements in Deep Reinforcement Learning
reinforcement learning algorithm
Schoof–Elkies–Atkin (SEA) point-counting algorithm
Scarf algorithm
LLL algorithm algorithm in computational number theory
Banker's algorithm deadlock avoidance algorithm
shunting-yard algorithm parsing algorithm
Newton’s method root-finding algorithm
Algorithm W type inference algorithm
Algorithm J type inference algorithm
Forney algorithm error-correction decoding algorithm
CDCL SAT solver
Zassenhaus algorithm for factoring polynomials over the rationals polynomial factorization algorithm
Rabin–Scott powerset construction
F4 algorithm
F5 algorithm
sieve of Eratosthenes deterministic algorithm
forward-backward algorithm
Baum–Welch algorithm
Bellman–Ford algorithm shortest path algorithm
Maximal Marginal Relevance (MMR) for information retrieval and summarization
surface form: Maximal Marginal Relevance
ranking algorithm
No-U-Turn Sampler Markov chain Monte Carlo algorithm
Oja rule unsupervised learning algorithm
ProxylessNAS NAS algorithm
Paragraph Vector unsupervised learning algorithm
DPLL(T) algorithmic framework
Yices decision procedure
Boolector decision procedure
Robinson unification algorithm algorithm in logic
Easter computus
Knuth–Morris–Pratt algorithm string-search algorithm
Knuth–Bendix completion algorithm
LogisticRegression classification algorithm