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Method in programming
The algorithmic state machine (ASM) is a method for designing finite-state machines (FSMs) originally developed by Thomas E. Osborne at the University
Algorithmic_state_machine
Subset of artificial intelligence
paradigms: the data model and the algorithmic model, wherein "algorithmic model" means more or less the machine learning algorithms like Random forest.[clarification
Machine_learning
Mathematical model of computation
science, a finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical
Finite-state_machine
Overview of and topical guide to machine learning
mutual information AIVA AIXI AlchemyAPI AlexNet Algorithm selection Algorithmic inference Algorithmic learning theory AlphaGo AlphaGo Zero Alternating
Outline_of_machine_learning
Technological phenomenon with social implications
data is coded, collected, selected or used to train the algorithm. For example, algorithmic bias has been observed in search engine results and social
Algorithmic_bias
Machine whose output is determined by its state and inputs
lights, that work concurrently. Synchronous circuit Moore machine Algorithmic state machine Richards controller Mealy, George H. (September 1955). "A
Mealy_machine
Interdisciplinary research area
Quantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks
Quantum_machine_learning
This is a list of artificial intelligence algorithms, including algorithms and algorithmic methods used in artificial intelligence (AI) for search, automated
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Alternative form of government or social ordering
also referred to as algorithmic regulation, regulation by algorithms, algorithmic governance, algocratic governance, algorithmic legal order, or algocracy
Government_by_algorithm
Finite-state machine whose output values are determined only by its current state
circuit Mealy machine Algorithmic state machine Autonomous system (mathematics) Moore, Edward F (1956). "Gedanken-experiments on Sequential Machines". Automata
Moore_machine
Digital circuit design abstraction
Electronic system-level Finite-state machine with datapath Integrated circuit design Synchronous circuit Algorithmic state machine Gate equivalent Power optimization
Register-transfer_level
Artificial intelligence algorithm
A Tsetlin machine is an artificial intelligence algorithm based on propositional logic. A Tsetlin machine is a form of learning automaton collective for
Tsetlin_machine
Computation model defining an abstract machine
model's simplicity, it is capable of implementing any computer algorithm. The machine operates on an infinite memory tape divided into discrete cells
Turing_machine
Method of executing orders
simple retail tools. Algorithmic trading is widely used in equities, futures, crypto, and foreign exchange markets. The term algorithmic trading is often
Algorithmic_trading
Type of algorithm in computer science
Deterministic algorithms can be defined in terms of a state machine: a state describes what a machine is doing at a particular instant in time. State machines pass
Deterministic_algorithm
Sequence of operations for a task
aversion Algorithm engineering Algorithm characterizations Algorithmic bias Algorithmic composition Algorithmic entities Algorithmic synthesis Algorithmic technique
Algorithm
2018 book by Safiya Umoja Noble
Algorithms of Oppression: How Search Engines Reinforce Racism is a 2018 book by Safiya Umoja Noble in the fields of information science, machine learning
Algorithms_of_Oppression
Abstract computer for designing parallel algorithms
to model algorithmic performance (such as time complexity), the PRAM is used by parallel-algorithm designers to model parallel algorithmic performance
Parallel_RAM
Set of methods for supervised statistical learning
In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that
Support_vector_machine
Topics referred to by the same term
state machines Active shape model, a deformable contour model used in computer vision Algorithmic state machine, for designing finite state machines Any-source
ASM
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
Algorithm for computing trigonometric, hyperbolic, logarithmic and exponential functions
levels of subroutines. […] Chris Clare later documented this as Algorithmic State Machine (ASM) methodology. Even the simple Sine or Cosine used the Tangent
CORDIC
Mathematical method of assigning a prior probability to a given observation
In algorithmic information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability
Algorithmic_probability
Field of machine learning
machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and unsupervised learning algorithms respectively
Reinforcement_learning
Innovative Mobility ASLR—Address Space Layout Randomization ASM—Algorithmic State Machine ASMP—Asymmetric Multiprocessing ASN.1—Abstract Syntax Notation
List of computing and IT abbreviations
List_of_computing_and_IT_abbreviations
Algorithm which can do multiple operations in a given time
computer science to describe serial algorithms in abstract machine models, often the one known as random-access machine. Similarly, many computer science
Parallel_algorithm
Consensus algorithm
rules are guaranteed by the details of the algorithm described in the previous section. The State Machine Safety is guaranteed by a restriction on the
Raft_(algorithm)
Type of finite-state machine in automata theory
finite-state machine is called a deterministic finite automaton (DFA), if each of its transitions is uniquely determined by its source state and input
Nondeterministic finite automaton
Nondeterministic_finite_automaton
Quantum algorithm for integer factorization
Shor's algorithm is a quantum algorithm for finding the prime factors of an integer. It was developed in 1994 by the American mathematician Peter Shor
Shor's_algorithm
Algorithm for supervised learning of binary classifiers
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether
Perceptron
Process by which platform algorithms increase the reach of certain content
of algorithms to spread illegal or harmful content, and ban algorithmic price discrimination against returning customers. Providers of algorithmic recommendation
Algorithmic_amplification
Type of stochastic recurrent neural network
random field. Boltzmann machines are theoretically intriguing because of the locality and Hebbian nature of their training algorithm (being trained by Hebb's
Boltzmann_machine
Family of protocols for solving consensus
for the state machine replication approach to distributed computing, as suggested by Leslie Lamport and surveyed by Fred Schneider. State machine replication
Paxos_(computer_science)
Model of quantum computation
quantum computation—that is, any quantum algorithm can be expressed formally as a particular quantum Turing machine. However, the computationally equivalent
Quantum_Turing_machine
Art genre
Algorithmic art or algorithm art is art, mostly visual art, in which the design is generated by an algorithm. Algorithmic artists are sometimes called
Algorithmic_art
Iterative method for finding maximum likelihood estimates in statistical models
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates
Expectation–maximization algorithm
Expectation–maximization_algorithm
Quantum search algorithm
related to the search algorithm. This separation usually prevents algorithmic optimizations, whereas conventional search algorithms often rely on such optimizations
Grover's_algorithm
Finite-state machine
(DFA), deterministic finite-state machine (DFSM), or deterministic finite-state automaton (DFSA)—is a finite-state machine that accepts or rejects a given
Deterministic finite automaton
Deterministic_finite_automaton
Computer hardware technology that uses quantum mechanics
large language models and evolutionary algorithms, has been described as a coding agent for scientific and algorithmic discovery. In quantum-computing research
Quantum_computing
Statistics and machine learning technique
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from
Ensemble_learning
Algorithm that selects actions for intelligent agents
characters. Common behavior selection algorithms include: Finite-state machines Hierarchical finite-state machines Decision trees Behavior trees Hierarchical
Behavior_selection_algorithm
Powered mechanical device
A machine is a thermodynamic system that uses power to apply forces and control movement to perform an action. The term is commonly applied to artificial
Machine
Quantum algorithm
O'Brien. The algorithm has also found applications in quantum machine learning and has been further substantiated by general hybrid algorithms between quantum
Variational quantum eigensolver
Variational_quantum_eigensolver
Algorithm to be run on quantum computers
Deotto, E.; Farhi, E.; Gutmann, S.; Spielman, D. A. (2003). "Exponential algorithmic speedup by quantum walk". Proceedings of the 35th Symposium on Theory
Quantum_algorithm
given application domain) the deployment of their algorithmic solutions by code-executing machines on changing platforms (definition of design decisions
Abstract_state_machine
American computer scientist
Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning. She is most well known for her work on automatically
Margaret_Mitchell_(scientist)
Theoretical computer used for defining a model of computation
complexity theory, such as with finite state machines, Mealy machines, push-down automata, and Turing machines. Abstract machines are typically categorized into
Abstract_machine
Algorithm in quantum information theory
Algorithmic cooling is an algorithmic method for transferring heat (or entropy) from some qubits to others or outside the system and into the environment
Algorithmic_cooling
Algorithm in mathematics
values below machine precision. The Baum–Welch algorithm was named after its inventors Leonard E. Baum and Lloyd R. Welch. The algorithm and the Hidden
Baum–Welch_algorithm
Measure of algorithmic complexity
known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin complexity, program-size complexity, descriptive complexity, or algorithmic entropy. It
Kolmogorov_complexity
Automated recognition of patterns and regularities in data
output, probabilistic pattern-recognition algorithms can be more effectively incorporated into larger machine-learning tasks, in a way that partially or
Pattern_recognition
Algorithm in theoretical computer science
set of states, the algorithm computes the sets Rk ij of all strings that take M from state qi to qj without going through any state numbered higher than
Kleene's_algorithm
Machine learning framework for portfolio construction
received the Nobel Prize in economic sciences. HRP algorithms apply discrete mathematics and machine learning techniques to create diversified and robust
Hierarchical_Risk_Parity
Problem in computer science
1943 (1943): In a paper, Stephen Kleene states that "In setting up a complete algorithmic theory, what we do is describe a procedure ... which procedure necessarily
Halting_problem
Right to have an algorithm explained
algorithmic decisions. They also state that the right of explanation in the GDPR is narrowly defined, and is not compatible with how modern machine learning
Right_to_explanation
Intelligence of machines
or policing) then the algorithm may cause discrimination. The field of fairness studies how to prevent harms from algorithmic biases. On 28 June 2015
Artificial_intelligence
the 1970s and algorithmic management is becoming increasingly widespread across a wide range of industries. The concept of algorithmic management can
Algorithmic_management
Attempts to formalize the concept of algorithms
In Algorithm examples we see the evolution of the state first-hand. Philosopher Daniel Dennett analyses the importance of evolution as an algorithmic process
Algorithm_characterizations
Overview of and topical guide to algorithms
Latinized name is associated with the word algorithm Algorithmic logic — logic-based study of programs and algorithms Computability theory — study of what can
Outline_of_algorithms
Computer science concept
In computer science, state machine replication (SMR) or state machine approach is a general method for implementing a fault-tolerant service by replicating
State_machine_replication
Application of computing technology in music
its website. Computer-aided algorithmic composition (CAAC, pronounced "sea-ack") is the implementation and use of algorithmic composition techniques in
Computer_music
Quantum algorithm for solving systems of linear equations
quantum algorithm, but the algorithm still outputs the optimal least-squares error. Machine learning Many quantum machine learning algorithms have been
HHL_algorithm
Competitive algorithm for searching a problem space
used finite state machines for predicting environments, and used variation and selection to optimize the predictive logics. Genetic algorithms in particular
Genetic_algorithm
Software for understanding biological data
Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems
Machine learning in bioinformatics
Machine_learning_in_bioinformatics
Decision-making process conducted with varying degrees of human oversight
world are now using automated, algorithmic systems for profiling and targeting policies and services including algorithmic policing based on risks, surveillance
Automated_decision-making
Machine learning algorithm
State–action–reward–state–action (SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine
State–action–reward–state–action
State–action–reward–state–action
Algorithm for finding sub-text location(s) inside a given sentence in Big O(n) time
published the algorithm jointly in 1977. Independently, in 1969, Matiyasevich discovered a similar algorithm, coded by a two-dimensional Turing machine, while
Knuth–Morris–Pratt_algorithm
Book by Pedro Domingos
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote
The_Master_Algorithm
Mathematical theory
unknown algorithm. This is also called a theory of induction. Due to its basis in the dynamical (state-space model) character of Algorithmic Information
Solomonoff's theory of inductive inference
Solomonoff's_theory_of_inductive_inference
First electronic stored-program computer, 1948
Turing proved that if an algorithm can be written to solve a mathematical problem, then a Turing machine can execute that algorithm. Konrad Zuse's Z3 was
Manchester_Baby
Abstract computational machine model
pointer machine is an atomistic abstract computational machine whose storage structure is a graph. A pointer algorithm could also be an algorithm restricted
Pointer_machine
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Finds likely sequence of hidden states
The Viterbi algorithm is a dynamic programming algorithm that finds the most likely sequence of hidden events that would explain a sequence of observed
Viterbi_algorithm
Reinforcement learning algorithms
The actor-critic algorithm (AC) is a family of reinforcement learning (RL) algorithms that combine policy-based RL algorithms such as policy gradient methods
Actor-critic_algorithm
Class of reinforcement learning algorithms
1992). "Simple statistical gradient-following algorithms for connectionist reinforcement learning". Machine Learning. 8 (3–4): 229–256. doi:10.1007/BF00992696
Policy_gradient_method
String-searching algorithm
aaaa). Informally, the algorithm creates a trie using the strings in the dictionary and then constructs a finite-state machine from the trie by adding
Aho–Corasick_algorithm
Quantum algorithm
to the problem's oracle, but for which any Probabilistic Turing machine (PTM) algorithm must make Ω ( n ) {\displaystyle \Omega (n)} queries. To provide
Bernstein–Vazirani_algorithm
sort: quantum algorithmic approach to sorting Quantum walk: quantum analogue of a classical random walk Quantum walk search: search algorithms based on quantum
List_of_algorithms
Unsolved problem in computer science
either an algorithm to obtain it or a specific bound. Even if the proof is constructive, showing an explicit bounding polynomial and algorithmic details
P_versus_NP_problem
Government regulation
Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly
Regulation_of_algorithms
Deterministic quantum algorithm
The Deutsch–Jozsa algorithm is a deterministic quantum algorithm proposed by David Deutsch and Richard Jozsa in 1992 with improvements by Richard Cleve
Deutsch–Jozsa_algorithm
Abstract machine used in a formal logic and theoretical computer science
control instructions for the machine to follow. The counter machine is typically used in the process of designing parallel algorithms in relation to the mutual
Counter_machine
Algorithm for shuffling a finite sequence
The Fisher–Yates shuffle is an algorithm for shuffling a finite sequence. The algorithm takes a list of all the elements of the sequence, and continually
Fisher–Yates_shuffle
labeled training datasets for supervised and semi-supervised machine-learning algorithms are usually difficult and expensive to produce because of the
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
that are considered to have particular ethical stakes. This includes algorithmic biases, fairness, accountability, transparency, privacy, and regulation
Ethics of artificial intelligence
Ethics_of_artificial_intelligence
Vietnamese-American computer scientist and applied mathematician
applied mathematician known for his contributions to optimization algorithms for machine learning and notable for proposing and developing the SARAH stochastic
Lam_Nguyen
usage of machine learning in various fields has led to a wide range of algorithms of learning methods being applied. Choosing the optimal algorithm for a
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Machine learning that combines deep learning and reinforcement learning
unstructured input data without manual engineering of the state space. Deep RL algorithms are able to take in very large inputs (e.g. every pixel rendered
Deep_reinforcement_learning
1953 scientific article
"Equation of State Calculations by Fast Computing Machines" is a scholarly article published by Nicholas Metropolis, Arianna W. Rosenbluth, Marshall N
Equation of State Calculations by Fast Computing Machines
Equation_of_State_Calculations_by_Fast_Computing_Machines
Algorithm for computing greatest common divisors
series, showing that it is also O(h2). Modern algorithmic techniques based on the Schönhage–Strassen algorithm for fast integer multiplication can be used
Euclidean_algorithm
Quantum algorithm
is represented by a quantum state, which can be in a superposition of several locations simultaneously. Search algorithms based on quantum walks have
Quantum_walk_search
Task of transforming a deterministic finite automaton
implementation of the state sets (e.g. new_states) and operations on them (such as adding a state or checking whether it is present), this algorithm can be implemented
DFA_minimization
Algorithm in data mining
and machine learning fields, k-means++ is an algorithm for choosing the initial values/centroids (or "seeds") for the k-means clustering algorithm. It
K-means++
Concurrent programming algorithm for mutual exclusion
two-process Peterson algorithm, the filter algorithm does not guarantee bounded waiting. On modern machines, Peterson's algorithm (as shown here) fails
Peterson's_algorithm
Subfield of computer science and mathematics
coding, algorithmic complexity theory, algorithmic information theory, information-theoretic security, and measures of information. Machine learning
Theoretical_computer_science
Abstract machine used to study decision problems
two special states: the ASK state and the RESPONSE state. From time to time, the oracle machine may enter the ASK state. When this happens, the following
Oracle_machine
Polynomial-time algorithm for the assignment problem
Jack; Karp, Richard M. (1 April 1972). "Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems". Journal of the ACM. 19 (2): 248–264
Hungarian_algorithm
British algorithmic trading company
XTX Markets Limited is a British algorithmic trading company based in London. It was founded in January 2015 by Alexander Gerko, who is currently co-CEO
XTX_Markets
Patient and media reports suggest need for testing and evaluation of algorithmic software used to score risk, with some patients reporting denial of prescriptions
Prescription monitoring program
Prescription_monitoring_program
List of concepts in artificial intelligence
for a repeating or continuous process. algorithmic probability In algorithmic information theory, algorithmic probability, also known as Solomonoff probability
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
Surname or Lastname
Indian (northern states)
Indian (northern states) : Hindu name meaning ‘lamp’, from Sanskrit dīpa. It occurs commonly as the final element of compound personal names, e.g. in Kuldeep ‘light of the family’. Subsequently, it appears to have evolved into a surname.English : presumably from the adjective deep, either a topographic name for someone who lived in a deep valley, or perhaps a nickname for a ‘deep’, thoughtful person.
Girl/Female
Indian, Kashmiri
State Honour
Boy/Male
American, Anglo, Australian, British, Chinese, Christian, English, Finnish, German, Indian, Irish, Norse, Scandinavian
To be Cheerful; Great; Measure of Land; Great Talker
Boy/Male
Arabic
State; Condition
Boy/Male
Arabic
State; Dignity
Boy/Male
Arabic
Power; State
Surname or Lastname
English and Irish
English and Irish : variant of Stacey.
Boy/Male
English Scandinavian American Irish Native American
Cheerful.
Boy/Male
Arabic
Leadership; State
Boy/Male
Hindu, Indian
State; Country
Male
English
English surname transferred to unisex forename use, TATE means "cheerful."
Surname or Lastname
English
English : metonymic occupational name for a slater, from Middle English slate ‘slate’.
Boy/Male
Arabic
Power; State
Girl/Female
Muslim
Wealth, Empire, State
Boy/Male
Celebrity, Hindu, Indian, Telugu
State
Surname or Lastname
English
English : unexplained.
Girl/Female
American, Anglo, Australian, British, English, Finnish, Irish, Scandinavian
Light Hearted; Cheerful; Pleasant and Bright; Brings Joy; Bright; Great; Measure of Land
Boy/Male
Arabic
Leadership; State
Girl/Female
English Scandinavian Anglo Saxon Irish
Brings joy.
Surname or Lastname
English
English : from the Old English personal name TÄta, possibly a short form of various compound names with the obscure first element tÄt, or else a nursery formation. This surname is common and widespread in Britain; the chief area of concentration is northeastern England, followed by northern Ireland.
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
Female
German
 Diminutive form of Old High German Adalheid, ELKE means "noble sort." Compare with another form of Elke.
Boy/Male
Hindu
Lord krishnas place
Girl/Female
Hindu
Girl/Female
Hindu, Indian
Beloved of Shiva
Girl/Female
Tamil
A woman with beautiful hair
Girl/Female
Hindu
Girl/Female
Hindu, Indian, Sanskrit
A Bird; Nightingale; Cuckoo
Girl/Female
Assamese, Hindu, Indian, Kannada, Malayalam, Marathi, Sanskrit, Telugu
Night
Boy/Male
Sikh
Source of light
Boy/Male
Muslim/Islamic
One who prospers
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
ALGORITHMIC STATE-MACHINE
v. t.
To pierce or wound with a stake.
n.
Alt. of Algorithm
v. t.
To place, as a statue; to form a statue of; to make into a statue.
imp. & p. p.
of State
v. t.
To cover with slate, or with a substance resembling slate; as, to slate a roof; to slate a globe.
n.
The bodies that constitute the legislature of a country; as, the States-general of Holland.
n.
One who states.
a.
Recurring at regular time; not occasional; as, stated preaching; stated business hours.
n.
The art of calculating with any species of notation; as, the algorithms of fractions, proportions, surds, etc.
n.
One of several marked phases or periods in the development and growth of many animals and plants; as, the larval stage; pupa stage; zoea stage.
a.
Belonging to the state, or body politic; public.
n.
Rank; condition; quality; as, the state of honor.
n.
See Skate, for the foot.
n.
Estate; state.
v. t.
To endow with an estate.
n.
Estate, possession.
n.
Any body of men united by profession, or constituting a community of a particular character; as, the civil and ecclesiastical states, or the lords spiritual and temporal and the commons, in Great Britain. Cf. Estate, n., 6.
n.
The state; the general body politic; the common-wealth; the general interest; state affairs.
v. t.
To exhibit upon a stage, or as upon a stage; to display publicly.
v. t.
To express the particulars of; to set down in detail or in gross; to represent fully in words; to narrate; to recite; as, to state the facts of a case, one's opinion, etc.