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.

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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
Fibonacci search search algorithm
Boyer–Moore string-search algorithm string-search algorithm
Deutsch–Jozsa algorithm quantum algorithm
Hummingbird search algorithm
Cooley–Tukey Fast Fourier Transform algorithm Fast Fourier Transform algorithm
Schmidt orthogonalization —
Kruskal
surface form: Kruskal's algorithm
graph algorithm
Huffman
surface form: Huffman coding
data compression algorithm
Atari deep Q-network off-policy reinforcement learning method
Bayesian inference inference method
MuZero reinforcement learning algorithm
Support Vector Machines
surface form: Support Vector Machine
classification algorithm
Lloyd’s algorithm clustering algorithm
TD3 actor-critic algorithm
Asynchronous Advantage Actor-Critic reinforcement learning algorithm
Peter B. Bendix
surface form: Knuth–Bendix completion algorithm
completion algorithm
Rabin–Karp algorithm string-search algorithm
MersenneTwister
surface form: Mersenne Twister
PRNG algorithm
Actor-Critic using Kronecker-Factored Trust Region reinforcement learning algorithm
Natural Policy Gradient reinforcement learning algorithm
Alex Ray
surface form: Hindsight Experience Replay
reinforcement learning algorithm
Hindsight Policy Gradients reinforcement learning algorithm
Deep Q-Learning reinforcement learning algorithm
Punycode —
Q-learning reinforcement learning algorithm
extended Kalman filter nonlinear state estimation algorithm
Markov localization probabilistic algorithm
Monte Carlo localization particle filter algorithm
neural tangent kernel kernel method
Lomuto partition scheme algorithmic technique
Merge sort sorting algorithm
Heapsort sorting algorithm
Insertion sort sorting algorithm
Markov chain Monte Carlo computational algorithm
Hoare partition scheme —
Practical Byzantine Fault Tolerance consensus algorithm
Schur algorithm mathematical algorithm
Fermat primality test probabilistic algorithm
Euler’s method for numerical integration first-order method
Warnock
surface form: Warnock algorithm
hidden surface algorithm
AdaGrad optimization algorithm
AdaDelta optimization algorithm
BLAST similarity search algorithm
KNN machine learning algorithm
Gale–Shapley algorithm —
Gale’s top trading cycles algorithm matching algorithm
Cinepak compression algorithm
Gauss transformation for elliptic integrals iterative procedure
TD(lambda)
surface form: TD(λ)
reinforcement learning algorithm
Zeller’s congruence —